M. Newton

发表

Approximate Bayesian-inference With the Weighted Likelihood Bootstrap

M. Newton, 1994 .

Inferring the Location and Effect of Tumor Suppressor Genes by Instability‐Selection Modeling of Allelic‐Loss Data

M. Newton, Yoonjung Lee, 2000, Biometrics.

Bayesian Inference for Semiparametric Binary Regression

M. Newton, C. Czado, R. Chappell, 1996 .

Easy Estilnation of Nonnalizing Constants and Bayes Factors from Posterior Simulation: Stabilizing the Harmonic :Nlean Estimator 1

M. Newton, A. Raftery, J. Satagopan, 2000 .

A recursive algorithm for nonparametric analysis with missing data

M. Newton, Yunlei Zhang, 1999 .

Bayesian inference by simulation in a stochastic model from hematology

M. Newton, P. Guttorp, J. Abkowitz, 1992 .

Computational Aspects of Nonparametric Bayesian Analysis with Applications to the Modeling of Multiple Binary Sequences

M. Newton, F. Quintana, 2000 .

Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis

M. Newton, 2008 .

SCnorm: robust normalization of single-cell RNA-seq data

M. Newton, R. Stewart, A. Gasch, 2017, Nature Methods.

Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data.

Vikas Singh, Michael A Newton, Tien Vo, 2019, Biostatistics.

A multi-functional analyzer uses parameter constraints to improve the efficiency of model-based gene-set analysis

M. Newton, Zhishi Wang, Q. He, 2013, 1310.6322.

Genome-Wide Analysis of Host Factors in Nodavirus RNA Replication

M. Newton, Q. He, Linhui Hao, 2014, PloS one.

Systematic Identification of Novel, Essential Host Genes Affecting Bromovirus RNA Replication

M. Newton, Q. He, Brandi Gancarz, 2011, PloS one.

Drosophila RNAi screen identifies host genes important for influenza virus replication

M. Newton, Tokiko Watanabe, Y. Kawaoka, 2008, Nature.

Estimating the Integrated Likelihood via Posterior Simulation Using the Harmonic Mean Identity

M. Newton, A. Raftery, J. Satagopan, 2006 .

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments

Keegan D. Korthauer, M. Newton, R. Stewart, 2016, Genome Biology.

Predicting kinase inhibitors using bioactivity matrix derived informer sets

Stephen J. Wright, Julie C. Mitchell, Anthony Gitter, 2019, bioRxiv.

Mutations in Protein-Binding Hot-Spots on the Hub Protein Smad3 Differentially Affect Its Protein Interactions and Smad3-Regulated Gene Expression

Michael A. Newton, Steven J. Darnell, M. Newton, 2011, PloS one.

Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis

M. Newton, F. Quintana, P. Ahlquist, 2007, 0708.4350.

Antibody profiling of patients with prostate cancer reveals differences in antibody signatures among disease stages

M. Newton, P. Nelson, C. Maher, 2020, Journal for ImmunoTherapy of Cancer.

The conserved protective cyclic AMP-phosphodiesterase function PDE4B is expressed in the adenoma and adjacent normal colonic epithelium of mammals and silenced in colorectal cancer

M. Newton, Zhishi Wang, D. Deming, 2018, PLoS genetics.

A Conserved Transcriptional Signature of Delayed Aging and Reduced Disease Vulnerability Is Partially Mediated by SIRT3

M. Newton, R. Weindruch, T. Prolla, 2015, PloS one.

Molecular transitions from papillomavirus infection to cervical precancer and cancer: Role of stromal estrogen receptor signaling

M. Newton, M. Sherman, M. Schiffman, 2015, Proceedings of the National Academy of Sciences.

GAMMA-BASED CLUSTERING VIA ORDERED MEANS WITH APPLICATION TO GENE-EXPRESSION ANALYSIS.

M. Newton, Lisa M Chung, 2009, Annals of statistics.

Multiple Hypothesis Testing by Clustering Treatment Effects

M. Newton, D. B. Dahl, 2007 .

Fundamental differences in cell cycle deregulation in human papillomavirus-positive and human papillomavirus-negative head/neck and cervical cancers.

M. Newton, C. Marsit, C. Woodworth, 2007, Cancer research.

A formula for the correlation between random-set enrichment scores

M. Newton, 2007 .

Genome-wide expression profiling reveals EBV-associated inhibition of MHC class I expression in nasopharyngeal carcinoma.

M. Newton, D. B. Dahl, Chien-Jen Chen, 2006, Cancer research.

Genes Involved in DNA Repair and Nitrosamine Metabolism and Those Located on Chromosome 14q32 Are Dysregulated in Nasopharyngeal Carcinoma

M. Newton, Chien-Jen Chen, L. Dodd, 2006, Cancer Epidemiology Biomarkers & Prevention.

On a nonparametric recursive estimator of the mixing distribution

M. Newton, 2002 .

Karyotypic abnormalities in human induced pluripotent stem cells and embryonic stem cells

M. Newton, K. Montgomery, Tori L. Sampsell-Barron, 2011, Nature Biotechnology.

A Rank Statistics Approach to the Consistency of a General Bootstrap

M. Newton, D. Mason, 1992 .

Weighted Bayesian bootstrap for scalable posterior distributions

Nicholas G. Polson, M. Newton, Jianeng Xu, 2020, Canadian Journal of Statistics.

Weighted Bayesian Bootstrap for Scalable Bayes

Nicholas G. Polson, M. Newton, Jianeng Xu, 2018, 1803.04559.

Phylogenetic Inference for Binary Data on Dendograms Using Markov Chain Monte Carlo

M. Newton, B. Mau, 1997 .

Two-Sided Estimation of Mate Preferences for Similarities in Age, Education, and Religion

Michael A Newton, Peter D. Hoff, Peter D Hoff, 2008 .

Discovering Combinations of Genomic Aberrations Associated With Cancer

M. Newton, 2002 .

Bayesian Phylogenetic Inference via Markov Chain Monte Carlo Methods

M A Newton, M. Newton, B. Mau, 1999, Biometrics.

Bootstrapping phylogenies: Large deviations and dispersion effects

Michael A. Newton, M. Newton, 1996 .

p16/pRb pathway alterations are required for bypassing senescence in human prostate epithelial cells.

M. Newton, F. Waldman, G. Magrane, 1999, Cancer research.

Assessing Poisson variation of intestinal tumour multiplicity in mice carrying a Robertsonian translocation

Michael A. Newton, David I. Hastie, M. Newton, 2006 .

Markov chain Monte Carlo for the Bayesian analysis of evolutionary trees from aligned molecular sequences

Bob Mau, Bret Larget, Michael A. Newton, 1999 .

Identifying Carriers of a Genetic Modifier Using Nonparametric Bayesian Methods

Peter D. Hoff, M. Newton, W. Dove, 2002 .

Random weighting to approximate posterior inference in LASSO regression

M. Newton, T. L. Ng, 2020 .

20q gain associates with immortalization: 20q13.2 amplification correlates with genome instability in human papillomavirus 16 E7 transformed human uroepithelial cells

Elena Savelieva, M. Newton, S. Devries, 1997, Oncogene.

A conditional predictive p-value to compare a multinomial with an overdispersed multinomial in the analysis of T-cell populations

M. Newton, M. Albertini, M. Macklin, 2013, Biostatistics.

2 Hierarchical Mixture Models for Expression Profiles

M. Newton, C. Kendziorski, Ping Wang, 2006 .

Parametric Partially Exchangeable Models for Multiple Binary Sequences

M. Newton, F. Quintana, 1996 .

Chapter 1 Buried treasures

M. Newton, 2022 .

Discovery and validation of colonic tumor-associated proteins via metabolic labeling and stable isotopic dilution

Edward L. Huttlin, M. Newton, E. Huttlin, 2009, Proceedings of the National Academy of Sciences.

Stochastic Modeling of Early Hematopoiesis

M. Newton, P. Guttorp, S. Catlin, 1995 .

Rheumatoid Factor and Anti–Modified Protein Antibody Reactivities Converge on IgG Epitopes

M. Newton, C. Grönwall, V. Malmström, 2022, Arthritis & rheumatology.

Behavior of Feline Hematopoietic Stem Cells Years After Busulfan Exposure

M. Newton, P. Guttorp, J. Abkowitz, 1993 .

Allelic imbalance in mammary carcinomas induced by either 7,12‐dimethylbenz[a]anthracene or ionizing radiation in rats carrying genes conferring differential susceptibilities to mammary carcinogenesis

M. Newton, M. Gould, J. Haag, 1996, Molecular carcinogenesis.

Regulated Expression of Chromobox Homolog 5 Revealed in Tumors of ApcMin/+ ROSA11 Gene Trap Mice

M. Newton, J. Amos-Landgraf, C. L. Schlamp, 2012, G3: Genes | Genomes | Genetics.

Identification of the prostate cancer micro-foci with chromosome 8p deletion at the tumor interface area by histopathological-FISH parallel examination.

M. Newton, G. Wilding, S. Q. Wu, 2001, International journal of oncology.

Melanoma Progression Inhibits Pluripotency and Differentiation of Melanoma-Derived iPSCs Produces Cells with Neural-like Mixed Dysplastic Phenotype

M. Newton, V. Setaluri, A. McCarthy, 2019, Stem cell reports.

ALTERED EXPRESSION OF PATTERN RECOGNITION RECEPTORS AFTER CARDIAC SURGERY NECESSITATING CARDIOPULMONARY BYPASS: IMPLICATIONS FOR POST-OPERATIVE INFLAMMATION AND DIFFERENCES WITH AGE

M. Newton, R. Weindruch, T. Prolla, 2015 .

Role of dual specificity phosphatases (DUSPs) in melanoma cellular plasticity and drug resistance

M. Newton, V. Setaluri, Mithalesh K Singh, 2022, Scientific Reports.

MicroRNA 29c is down-regulated in nasopharyngeal carcinomas, up-regulating mRNAs encoding extracellular matrix proteins

Paul Ahlquist, Stephen A. Stanhope, Srikumar Sengupta, 2008, Proceedings of the National Academy of Sciences.

A comparative analysis of allelic imbalance events in chemically induced rat mammary, colon, and bladder tumors

M. Newton, G. Kelloff, M. Gould, 1999, Molecular carcinogenesis.

Mammary carcinoma suppressor and susceptibility genes in the Wistar-Kyoto rat.

M. Newton, M. Gould, J. Haag, 1992, Carcinogenesis.

Discovery of structural alterations in solid tumor oligodendroglioma by single molecule analysis

M. Newton, O. Bogler, D. Schwartz, 2013, BMC Genomics.

Behavior of feline hematopoietic stem cells years after busulfan exposure.

M. Newton, P. Guttorp, J. Abkowitz, 1993, Blood.

Dimension constraints improve hypothesis testing for large-scale, graph-associated, brain-image data

M. Newton, Tien N. Vo, Akshay Mishra, 2019, Biostatistics.

On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data

Christina Kendziorski, Frederick R. Blattner, M. A. Newton, 2001, J. Comput. Biol..

A Study of Deleterious Gene Structure in Plants Using Markov Chain Monte Carlo

M. Newton, M. Lascoux, Jae Kyun Lee, 1999, Biometrics.

RNA expression profiling in sulfamethoxazole‐treated patients with a range of in vitro lymphocyte cytotoxicity phenotypes

M. Newton, L. Trepanier, W. Rose, 2018, Pharmacology research & perspectives.

Pilot study of safety and feasibility of DNA microseeding for treatment of spontaneous canine melanoma

M. Newton, J. Wolchok, E. Ranheim, 2017, Veterinary medicine and science.

Genetic loci controlling breast cancer susceptibility in the Wistar-Kyoto rat.

M. Newton, C. Kendziorski, H. Lan, 2001, Genetics.

Genetic identification of multiple loci that control breast cancer susceptibility in the rat.

M A Newton, M N Gould, M. Newton, 1998, Genetics.

Fluorescent In Situ Hybridization Evaluation of p53 Gene Deletions at a Tumor Interface of Lingual Carcinoma

M. Newton, Savita P. Collins, G. Hartig, 2000, The Laryngoscope.

SCnorm: A quantile-regression based approach for robust normalization of single-cell RNA-seq data

Ning Leng, James A. Thomson, Christina Kendziorski, 2016, bioRxiv.

Patient-Derived Cancer Organoid Cultures to Predict Sensitivity to Chemotherapy and Radiation

Joe T. Sharick, Christine M. Walsh, M. Newton, 2019, Clinical Cancer Research.

Statistical Use of Argonaute Expression and RISC Assembly in microRNA Target Identification

Paul Ahlquist, Stephen A. Stanhope, Srikumar Sengupta, 2009, PLoS Comput. Biol..

On the statistical analysis of allelic-loss data.

M A Newton, M N Gould, M. Newton, 1998, Statistics in medicine.

Detecting differential gene expression with a semiparametric hierarchical mixture method.

Deepayan Sarkar, Paul Ahlquist, Michael A Newton, 2004, Biostatistics.

Enrichment of melanoma-associated T cells in 6-thioguanine-resistant T cells from metastatic melanoma patients

M. Newton, I. Ong, M. Albertini, 2020, Melanoma research.

Subclonal diversity arises early even in small colorectal tumours and contributes to differential growth fates

Luli S. Zou, M. Newton, Tien N. Vo, 2016, Gut.

Genome‐wide loss of heterozygosity analysis of chemically induced rat hepatocellular carcinomas reveals elevated frequency of allelic imbalances on chromosomes 1, 6, 8, 11, 15, 17, and 20

M. Newton, Y. Dragan, H. Pitot, 2000, Molecular carcinogenesis.

MTORC1/2 Inhibition as a Therapeutic Strategy for PIK3CA Mutant Cancers

M. Newton, M. Burkard, J. Kratz, 2018, Molecular Cancer Therapeutics.

Dual PI3K/mTOR Inhibition in Colorectal Cancers with APC and PIK3CA Mutations

M. Newton, D. Deming, L. Clipson, 2016, Molecular Cancer Research.

Overcoming cellular senescence in human cancer pathogenesis.

M. Newton, S. Devries, F. Waldman, 1998, Genes & development.

Long-term genome stability and minimal genotypic and phenotypic alterations in HPV16 E7-, but not E6-, immortalized human uroepithelial cells.

M. Newton, S. Devries, C. Reznikoff, 1994, Genes & development.

Dosage compensation can buffer copy-number variation in wild yeast

Michael A Newton, Zhishi Wang, Audrey P Gasch, 2015, eLife.

Genetic Determination of Susceptibility to Estrogen-Induced Mammary Cancer in the ACI Rat

M. Newton, J. Meza, J. Shull, 2004, Genetics.

EBSeq: improving mixing computations for multi-group differential expression analysis

Christina Kendziorski, Michael A. Newton, Xiuyu Ma, 2020, bioRxiv.

A Model-Based Analysis to Infer the Functional Content of a Gene List

Michael A Newton, Christina Kendziorski, Qiuling He, 2012, Statistical applications in genetics and molecular biology.

Monoallelic silencing and haploinsufficiency in early murine intestinal neoplasms

M. Newton, J. Amos-Landgraf, B. Laube, 2012, Proceedings of the National Academy of Sciences.

A Strategy to Identify Dominant Point Mutant Modifiers of a Quantitative Trait

Thomas M. Keane, M. Newton, D. Adams, 2014, G3: Genes, Genomes, Genetics.

Clonal Structure of Carcinogen-Induced Intestinal Tumors in Mice

M. Newton, L. Clipson, W. Dove, 2011, Cancer Prevention Research.

Validation of genetic classifiers derived from mouse and human tumors to identify molecular subtypes of colorectal cancer.

M. Newton, Tien N. Vo, P. Pickhardt, 2021, Human pathology.

Evidence for the maintenance of hematopoiesis in a large animal by the sequential activation of stem-cell clones.

P Guttorp, M A Newton, M. Newton, 1990, Proceedings of the National Academy of Sciences of the United States of America.

On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles

C M Kendziorski, M A Newton, H Lan, 2003, Statistics in medicine.

Transformation of epithelial cells through recruitment leads to polyclonal intestinal tumors

M. Newton, M. Washington, D. Deming, 2013, Proceedings of the National Academy of Sciences.

The correlation between the loss of chromosome 14q with histologic tumor grade, pathologic stage, and outcome of patients with nonpapillary renal cell carcinoma

M. Newton, E. Messing, G. Hafez, 1996 .

Notch signaling activation induces cell death in MAPKi‐resistant melanoma cells

M. Newton, V. Setaluri, Kirthana Prabhakar, 2019, Pigment cell & melanoma research.

The correlation between the loss of chromosome 14q with histologic tumor grade, pathologic stage, and outcome of patients with nonpapillary renal cell carcinoma.

M. Newton, E. Messing, S. Q. Wu, 1996, Cancer.

Disordered Antigens and Epitope Overlap Between Anti–Citrullinated Protein Antibodies and Rheumatoid Factor in Rheumatoid Arthritis

M. Newton, I. Ong, A. Bridges, 2019, Arthritis & rheumatology.

Limited Agreement of Independent RNAi Screens for Virus-Required Host Genes Owes More to False-Negative than False-Positive Factors

Mark Craven, Linhui Hao, Paul Ahlquist, 2013, PLoS Comput. Biol..

Clonal expansions of 6‐thioguanine resistant T lymphocytes in the blood and tumor of melanoma patients

M. Newton, R. Albertini, M. Albertini, 2008, Environmental and molecular mutagenesis.

Random weighting in LASSO regression

M. Newton, T. L. Ng, 2020, Electronic Journal of Statistics.

Nonparametric Bayes methods using predictive updating

Fernando A. Quintana, Michael A. Newton, M. Newton, 1998 .

Differential control of Zap1-regulated genes in response to zinc deficiency in Saccharomyces cerevisiae

M. Newton, D. Winge, D. Eide, 2008, BMC Genomics.

In vivo 6-thioguanine-resistant T cells from melanoma patients have public TCR and share TCR beta amino acid sequences with melanoma-reactive T cells.

M. Newton, M. Albertini, M. Macklin, 2011, Journal of immunological methods.

A molecular genetic model of human bladder carcinogenesis.

M. Newton, E. Messing, C. Kao, 1993, Seminars in cancer biology.

Computing with Priors That Support Identiiable Semiparametric Models Computing with Priors That Support Identiiable Semiparametric Models

M. Newton, 2007 .

Molecular characterization of hypoxanthine guanine phosphoribosyltransferase mutant T cells in human blood: The concept of surrogate selection for immunologically relevant cells.

M. Newton, R. Albertini, M. Albertini, 2022, Mutation research. Reviews in mutation research.

Polyclonality of familial murine adenomas: analyses of mouse chimeras with low tumor multiplicity suggest short-range interactions.

Stephen A. Stanhope, M. Newton, M. Washington, 2005, Proceedings of the National Academy of Sciences of the United States of America.

An Estimation Method for the Semi-Parametric MixedE ects

B. Yandell, M. Newton, M. Palta, 1997 .

Phase I study to evaluate toxicity and feasibility of intratumoral injection of α-gal glycolipids in patients with advanced melanoma

M. Newton, E. Ranheim, M. Albertini, 2016, Cancer Immunology, Immunotherapy.

Multiset Statistics for Gene Set Analysis.

Michael A Newton, Zhishi Wang, M. Newton, 2015, Annual review of statistics and its application.

In vivo mutant frequency of thioguanine-resistant T-cells in the peripheral blood and lymph nodes of melanoma patients.

M. Newton, P. Vacek, M. Albertini, 2001, Mutation research.

Multi‐ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy

M. Newton, H. Mukhtar, D. Deming, 2021, Cancer reports.

Heterochromatin Protein 1 Binding Protein 3 Expression as a Candidate Marker of Intrinsic 5-Fluorouracil Resistance.

M. Newton, L. Clipson, R. Halberg, 2016, Anticancer research.

Advanced Intestinal Cancers often Maintain a Multi-Ancestral Architecture

M. Newton, M. Washington, K. Eliceiri, 2016, PloS one.

MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing

M. Newton, I. Ong, M. Shelef, 2020, Bioinform..

On estimating the polyclonal fraction in lineage-marker studies of tumor origin.

M. Newton, 2006, Biostatistics.

Assessing the significance of chromosome-loss data: where are suppressor genes for bladder cancer?

M. Newton, C. Reznikoff, S. Q. Wu, 1994, Statistics in medicine.

Parametric Empirical Bayes Methods for Microarrays

Christina Kendziorski, Michael A. Newton, M. Newton, 2003 .

Identification of tissue‐specific transcriptional markers of caloric restriction in the mouse and their use to evaluate caloric restriction mimetics

M. Newton, R. Weindruch, T. Prolla, 2017, Aging cell.

A Statistical Test of the Hypothesis that Polyclonal Intestinal Tumors Arise by Random Collision of Initiated Clones

M. Newton, L. Clipson, A. Thliveris, 2006, Biometrics.

A bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo.

M A Newton, B. Yandell, M. Newton, 1996, Genetics.

Contributed chapter Title : Model-based statistical analysis with examples from cancer and stem-cell biology

M. Newton, 2012 .

Further support for aneuploidy tolerance in wild yeast and effects of dosage compensation on gene copy-number evolution

M. Newton, A. Gasch, Zhishi Wang, 2016, eLife.

Dynamic Tumor Growth Patterns in a Novel Murine Model of Colorectal Cancer

M. Newton, Alice Nomura, D. Deming, 2013, Cancer Prevention Research.

4-HPR Is an Endoplasmic Reticulum Stress Aggravator and Sensitizes Breast Cancer Cells Resistant to TRAIL/Apo2L

M. Newton, M. Clagett-Dame, A. Anding, 2018, AntiCancer Research.

Making the cut: improved ranking and selection for large‐scale inference

Michael A. Newton, Nicholas C. Henderson, M. Newton, 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.

A Compositional Model to Assess Expression Changes from Single-Cell Rna-Seq Data

Christina Kendziorski, By Xiuyu Ma, Keegan Korthauer, 2019, bioRxiv.

Chromosomal copy number alterations and HPV integration in cervical precancer and invasive cancer.

Keegan D. Korthauer, M. Newton, M. Sherman, 2016, Carcinogenesis.

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening

Huikun Zhang, F Michael Hoffmann, Scott A Wildman, 2017, J. Chem. Inf. Model..

Bootstrap Recycling: A Monte Carlo Alternative to the Nested Bootstrap

Charles J. Geyer, Michael A. Newton, M. Newton, 1994 .

Bayes optimal informer sets for early‐stage drug discovery

Spencer S. Ericksen, M. Newton, A. Gitter, 2020, Biometrics.

Predicting kinase inhibitors using bioactivity matrix derived informer sets

Stephen J. Wright, Julie C. Mitchell, Anthony Gitter, 2019, bioRxiv.

Estimation for the Marriage Model

Peter D. Ho, M. Newton, J. Logan, 1999 .

Assessing the Order of Dependence for Partially Exchangeable Binary Data

Fernando A. Quintana, Michael A. Newton, M. Newton, 1998 .

Statistical Applications in Genetics and Molecular Biology

Christina Kendziorski, Michael A. Newton, M. Newton, 2011 .

Analysis of aerial survey data on Florida manatee using Markov chain Monte Carlo.

M. Newton, B. Craig, R. Garrott, 1997, Biometrics.

Lack of Association between EBV and Breast Carcinoma

M. Newton, P. Ahlquist, J. D. den Boon, 2005, Cancer Epidemiology Biomarkers & Prevention.

Osteosarcoma tissues and cell lines from patients with differing serum alkaline phosphatase concentrations display minimal differences in gene expression patterns.

M. Newton, S. Lana, L. C. Rodrigues, 2016, Veterinary and comparative oncology.

The many ways to open the gate to colon cancer

M. Newton, J. Amos-Landgraf, L. Clipson, 2012, Cell cycle.

SURROGATE SELECTION OVERSAMPLES EXPANDED T CELL CLONOTYPES

M. Newton, R. Albertini, M. Albertini, 2023, bioRxiv.

Longitudinal assessment of colonic tumor fate in mice by computed tomography and optical colonoscopy.

M. Newton, K. Shinki, J. Weichert, 2009, Academic radiology.

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data

Vikas Singh, Ligang Zheng, Hyunwoo J. Kim, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The intestinal epithelium and its neoplasms: genetic, cellular and tissue interactions.

M. Newton, A. Merritt, A. Shoemaker, 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

Weighted bootstrapping of means

M. Newton, D. Mason, E. Haeusler, 1991 .

Abstract 5011: Patient-derived organotypic cancer spheroids (PDOCS) as predictive models for the treatment of cancer in a clinically meaningful time frame

Joe T. Sharick, M. Newton, D. Deming, 2018, Tumor Biology.

Hierarchical Mixture Models for Expression Profiles

M. Newton, C. Kendziorski, Ping Wang, 2006 .

Genome-wide expression profiling reveals EBV-associated inhibition of MHC class I expression in nasopharyngeal carcinoma.

M. Newton, D. B. Dahl, Chien-Jen Chen, 2006, Cancer research.

Clonal Structure of Carcinogen-Induced Intestinal Tumors in Mice

M. Newton, L. Clipson, W. Dove, 2011, Cancer Prevention Research.

Bootstrapping Phylogenies: Large Deviations and Dispersion Eeects Bootstrapping Phylogenies: Large Deviations and Dispersion Eeects

M. Newton, 2007 .

A Statistical Analysis of Cancer Genome Variation

M. Newton, C. Reznikoff, T. Yeager, 1999 .

Making the cut: improved ranking and selection for large‐scale inference

Nicholas C. Henderson, M. Newton, 2013, Journal of the Royal Statistical Society. Series B, Statistical methodology.

In vivo 6-thioguanine-resistant T cells from melanoma patients have public TCR and share TCR beta amino acid sequences with melanoma-reactive T cells.

M. Newton, M. Albertini, M. Macklin, 2011, Journal of immunological methods.

Discovery of structural alterations in solid tumor oligodendroglioma by single molecule analysis

Deepayan Sarkar, Michael A Newton, Christina Kendziorski, 2013, BMC Genomics.

A Note on Bootstrap Large Deviations and Discrete Parameter Spaces

M. Newton, 2022 .

Notch Signaling Suppresses Melanoma Tumor Development in BRAF/Pten Mice

M. Newton, B. Longley, T. L. Ng, 2023, Cancers.

A Conserved Transcriptional Signature of Delayed Aging and Reduced Disease Vulnerability Is Partially Mediated by SIRT3

M. Newton, R. Weindruch, T. Prolla, 2015, PloS one.