Arul M. Chinnaiyan

发表

Gene Fusion Markup Language: a prototype for exchanging gene fusion data

Shanker Kalyana-Sundaram, Achiraman Shanmugam, Arul M. Chinnaiyan, 2012, BMC Bioinformatics.

Empirical Bayes Identication of Tumor Progression Genes from Microarray Data

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2007 .

HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data

Zhaohui S. Qin, Ming Hu, Christopher A. Maher, 2010, BMC Bioinformatics.

Development and Validation of a Scalable Next-Generation Sequencing System for Assessing Relevant Somatic Variants in

Paul D. Williams, Arul M. Chinnaiyan, Peter S. Nelson, 2015 .

Mixture modelling of gene expression data from microarray experiments

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2002, Bioinform..

Oculus: faster sequence alignment by streaming read compression

Arul M. Chinnaiyan, Brendan A. Veeneman, Matthew K. Iyer, 2012, BMC Bioinformatics.

Internet-based profiler system as integrative framework to support translational research

Alberto Riva, Ronglai Shen, Robert Kim, 2005, BMC Bioinformatics.

rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data

Hui Jiang, Yang Shi, Arul M. Chinnaiyan, 2015, Bioinform..

Integrative Clinical Genomics of Metastatic Cancer

Robert J. Lonigro, Daniel F. Hayes, Arul M. Chinnaiyan, 2017, Nature.

ProbeMatch: rapid alignment of oligonucleotides to genome allowing both gaps and mismatches

Jignesh M. Patel, You Jung Kim, James A. Thomson, 2009, Bioinform..

MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions

Rolf Backofen, Colin Collins, Süleyman Cenk Sahinalp, 2018, bioRxiv.

ChimeraScan: a tool for identifying chimeric transcription in sequencing data

Christopher A. Maher, Arul M. Chinnaiyan, Matthew K. Iyer, 2011, Bioinform..

Eigengene-based linear discriminant model for tumor classification using gene expression microarray data

Debashis Ghosh, Ronglai Shen, Arul M. Chinnaiyan, 2006, Bioinform..

A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments

Hyungwon Choi, Debashis Ghosh, Ronglai Shen, 2007, BMC Bioinformatics.

Classification and Selection of Biomarkers in Genomic Data Using LASSO

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2005, Journal of biomedicine & biotechnology.

SPATA: An Accurate GUI Tool forDe NovoTranscriptome Assembly

Xiaojun Jing, Steven J. M. Jones, Shaun D. Jackman, 2010 .

EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells

Debashis Ghosh, Ronglai Shen, Daniel F. Hayes, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Associations of Luminal and Basal Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation Therapy

Menggang Yu, Arul M. Chinnaiyan, Felix Y. Feng, 2017, JAMA oncology.

The critical role of the pathologist in determining eligibility for active surveillance as a management option in patients with prostate cancer: consensus statement with recommendations supported by the College of American Pathologists, International Society of Urological Pathology, Association of D

Lawrence D. True, Beatrice S. Knudsen, Mark A. Rubin, 2014, Archives of pathology & laboratory medicine.

The Receptor for the Cytotoxic Ligand TRAIL

Arul M. Chinnaiyan, Karen O'Rourke, Vishva M. Dixit, 1997, Science.

Feature selection and molecular classification of cancer using genetic programming.

Debashis Ghosh, Arpit A. Almal, William P. Worzel, 2007, Neoplasia.

VISION: Oncomine and cabig advance cancer bioinformatics

Arul M. Chinnaiyan, A. Chinnaiyan, 2005 .

Integrative Clinical Genomics of Advanced Prostate Cancer

Lawrence D. True, Johann S. de Bono, Colin C. Pritchard, 2015, Cell.

Quantitative determination of expression of the prostate cancer protein alpha-methylacyl-CoA racemase using automated quantitative analysis (AQUA): a novel paradigm for automated and continuous biomarker measurements.

Mark A. Rubin, Arul M. Chinnaiyan, David L. Rimm, 2004, The American journal of pathology.

Personalized Oncology Through Integrative High-Throughput Sequencing: A Pilot Study

Lee T. Sam, Robert J. Lonigro, Arul M. Chinnaiyan, 2011, Science Translational Medicine.

Exploring Clinical Associations Using ‘-Omics’ Based Enrichment Analyses

David A. Hanauer, Arul M. Chinnaiyan, Daniel R. Rhodes, 2009, PloS one.

ESR1 Mutations in Circulating Plasma Tumor DNA from Metastatic Breast Cancer Patients

Daniel F. Hayes, Arul M. Chinnaiyan, Heather A. Parsons, 2015, Clinical Cancer Research.

Molecular Cross-talk between the TRAIL and Interferon Signaling Pathways *

Arul M. Chinnaiyan, Chandan Kumar-Sinha, S. Varambally, 2001 .

Humoral Immune Response to α-Methylacyl-CoA Racemase and Prostate Cancer

Debashis Ghosh, Mark A. Rubin, Arul M. Chinnaiyan, 2004 .

Cancer transcriptome profiling at the juncture of clinical translation

Arul M. Chinnaiyan, Marcin Cieślik, A. Chinnaiyan, 2017, Nature Reviews Genetics.

Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer

Debashis Ghosh, Arul M. Chinnaiyan, D. Ghosh, 2003, Functional & Integrative Genomics.

Applications of genetic programming in cancer research.

Arpit A. Almal, William P. Worzel, Arul M. Chinnaiyan, 2009, The international journal of biochemistry & cell biology.

Reconstructing targetable pathways in lung cancer by integrating diverse omics data

Alexey I. Nesvizhskii, Damian Fermin, Arul M. Chinnaiyan, 2013, Nature Communications.

Lowered H3K27me3 and DNA hypomethylation define poorly prognostic pediatric posterior fossa ependymomas

Richard C. McEachin, Daniel Martinez, Benjamin A. Garcia, 2016, Science Translational Medicine.

Prostate Cancer Expression Profiles Reveals Pathway Dysregulation in Meta-Analysis of Microarrays : Interstudy Validation of Gene Updated

Debashis Ghosh, Mark A. Rubin, Arul M. Chinnaiyan, 2002 .

Proteogenomic Characterization of Endometrial Carcinoma

Peter B. McGarvey, Ying Wang, Li Ding, 2020, Cell.

Erratum: Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression (Nature (2009) 457 (910-914) DOI: 10.1038/nature07762)

Debashis Ghosh, Robert J. Lonigro, Gilbert S. Omenn, 2013 .

Erratum: Clinical Sequencing Exploratory Research Consortium: Accelerating Evidence-Based Practice of Genomic Medicine (American Journal of Human Genetics (2016) 98(6) (1067–1076) (S0002929716301069) (10.1016/j.ajhg.2016.04.011))

Sara Chandros Hull, Robert C. Green, Sean D. Mooney, 2016 .

FADD, a novel death domain-containing protein, interacts with the death domain of fas and initiates apoptosis

Arul M. Chinnaiyan, Muneesh Tewari, Karen O'Rourke, 1995, Cell.

Abstract PD6-1: The long noncoding RNA M41 promotes aggressiveness and tamoxifen resistance in ER-positive breast cancers

Arul M. Chinnaiyan, Felix Y. Feng, Matthew K. Iyer, 2015 .

ESR 1 Mutations in Circulating Plasma Tumor DNA from Metastatic Breast Cancer Patients

Daniel F. Hayes, Arul M. Chinnaiyan, Heather Parsons, 2015 .

Oncogenic Role of THOR, a Conserved Cancer/Testis Long Non-coding RNA

Huynh-Hoa Bui, Arul M. Chinnaiyan, Felix Y. Feng, 2017, Cell.

Autoantibody Signatures in Prostate Cancer

Jianjun Yu, Debashis Ghosh, Ronglai Shen, 2006 .

Selection and cloning of poly(rC)-binding protein 2 and Raf kinase inhibitor protein RNA activators of 2′,5′-oligoadenylate synthetase from prostate cancer cells

Arul M. Chinnaiyan, Robert H. Silverman, S. Varambally, 2006, Nucleic acids research.

Whole genome scanning identifies genotypes associated with recurrence and metastasis in prostate tumors

Jane Fridlyand, Ajay N. Jain, Mark A. Rubin, 2004 .

Decreased α-Methylacyl CoA Racemase Expression in Localized Prostate Cancer is Associated with an Increased Rate of Biochemical Recurrence and Cancer-Specific Death

Debashis Ghosh, Ronglai Shen, Mark A. Rubin, 2005, Cancer Epidemiology Biomarkers & Prevention.

Landscape of gene fusions in epithelial cancers: seq and ye shall find

Arul M. Chinnaiyan, Chandan Kumar-Sinha, A. Chinnaiyan, 2015, Genome Medicine.