Paul T. Spellman

发表

Classification of Tumor Histology via Morphometric Context

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

MAGE‐OM: An object model for the communication of microarray data

Paul T. Spellman, Michael D. Miller, Catherine A. Ball, 2006 .

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma Multiforme

Bahram Parvin, Hang Chang, Paul T. Spellman, 2012, IEEE Transactions on Biomedical Engineering.

Morphometic analysis of TCGA glioblastoma multiforme

Bahram Parvin, Hang Chang, Paul T. Spellman, 2011, BMC Bioinformatics.

Editorial: The Future of Publishing Microarray Data

Paul T. Spellman, 2001, Briefings Bioinform..

An open letter to the scientific journals

Catherine Brooksbank, Duccio Cavalieri, Paul T. Spellman, 2002, Bioinform..

The Stanford Microarray Database

David Botstein, Paul T. Spellman, Shuai Weng, 2001, Nucleic Acids Res..

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid Matching

Bahram Parvin, Hang Chang, Paul T. Spellman, 2013, MICCAI.

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular Association

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, IEEE Transactions on Medical Imaging.

Predictive sparse morphometric context for classification of histology sections

Bahram Parvin, Hang Chang, Paul T. Spellman, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Classification of tumor histopathology via sparse feature learning

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Learning invariant features of tumor signatures

Quoc V. Le, Bahram Parvin, Paul T. Spellman, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Bayesian Inference of Signaling Network Topology in a Cancer Cell Line

Terence P. Speed, Paul T. Spellman, Joe W. Gray, 2012, Bioinform..

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology

Bahram Parvin, Hang Chang, Paul T. Spellman, 2013, 2013 IEEE International Conference on Computer Vision.

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biology

Paul T. Spellman, Joe W. Gray, Wen-Lin Kuo, 2011, BMC Bioinformatics.

A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB

Paul T. Spellman, Rafael A. Irizarry, John Quackenbush, 2006, BMC Bioinformatics.

Sparse combinatorial inference with an application in cancer biology

Terence P. Speed, Paul T. Spellman, Joe W. Gray, 2009, Bioinform..

Spectral Decomposition of Signaling Networks

Bahram Parvin, Carolyn L. Talcott, Paul T. Spellman, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Classification of Histology Sections via Multispectral Convolutional Sparse Coding

Bahram Parvin, Kenneth E. Barner, Hang Chang, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

A single-sample method for normalizing and combining full-resolution copy numbers from multiple platforms, labs and analysis methods

Terence P. Speed, Paul T. Spellman, Henrik Bengtsson, 2009, Bioinform..

Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme

Bahram Parvin, Kai Zhang, Hang Chang, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

GenomeGraphs: integrated genomic data visualization with R

Paul T. Spellman, Steffen Durinck, Sandrine Dudoit, 2009, BMC Bioinformatics.

Classification of tumor histopathology via sparse feature learning

Bahram Parvin, Hang Chang, Alexander Borowsky, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Parent-specific copy number in paired tumor-normal studies using circular binary segmentation

Paul T. Spellman, Richard A. Olshen, Adam B. Olshen, 2011, Bioinform..

A Status Report on Mage

Paul T. Spellman, 2005, Bioinform..

Molecular bases of morphometric composition in Glioblastoma multiforme

Bahram Parvin, Hang Chang, Alexander Borowsky, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Batch-invariant nuclear segmentation in whole mount histology sections

Bahram Parvin, Hang Chang, Alexander Borowsky, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Prediction of epigenetically regulated genes in breast cancer cell lines

Bahram Parvin, Paul T. Spellman, Steffen Durinck, 2010, BMC Bioinformatics.

Stacked Predictive Sparse Decomposition for Classification of Histology Sections

Bahram Parvin, Kenneth E. Barner, Hang Chang, 2014, International Journal of Computer Vision.

Methods and challenges in timing chromosomal abnormalities within cancer samples

Paul T. Spellman, Christine Ho, Elizabeth Purdom, 2013, Bioinform..

Causal interactions from proteomic profiles: Molecular data meet pathway knowledge

Chris Sander, Ugur Dogrusoz, Paul T. Spellman, 2021, Patterns.

Unifying Gene Expression Measures from Multiple Platforms Using Factor Analysis

Terence P. Speed, Paul T. Spellman, Xin Victoria Wang, 2011, PloS one.

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA , IDH 1 , EGFR , and NF 1 Citation Verhaak

Yuan Qi, Jill P. Mesirov, Li Ding, 2010 .

Patient-specific factors influence somatic variation patterns in von Hippel–Lindau disease renal tumours

Paul T. Spellman, Kemal Sönmez, W. Marston Linehan, 2016, Nature Communications.

A Comprehensive Assessment of Somatic Mutation Calling in Cancer Genomes

Roland Eils, Pablo H. Hennings-Yeomans, Paul T. Spellman, 2014, bioRxiv.

Standards for microarray data: an open letter.

Paul T. Spellman, John Quackenbush, Yoshio Tateno, 2004, Environmental health perspectives.

Inferring structural variant cancer cell fraction

Roland Eils, Yuan Ji, Jan Schröder, 2020, Nature Communications.

The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma

Paul T. Spellman, Ed Reznik, Rehan Akbani, 2018, Cell reports.

Decoupling of the PI3K Pathway via Mutation Necessitates Combinatorial Treatment in HER2+ Breast Cancer

Obi L. Griffith, Paul T. Spellman, Joe W. Gray, 2015, PloS one.

Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling

Paul T. Spellman, Joe W. Gray, Yiling Lu, 2017, Cell systems.

ATM Suppresses SATB1-Induced Malignant Progression in Breast Epithelial Cells

Paul T. Spellman, Joe W. Gray, Mina J. Bissell, 2012, PloS one.

Loss-of-function mutations in Notch receptors in cutaneous and lung squamous cell carcinoma

David Haussler, Nam Huh, Paul T. Spellman, 2011, Proceedings of the National Academy of Sciences.

Erratum: The somatic genomic landscape of glioblastoma (Cell (2013) 155 (462-477))

Chris Sander, David Haussler, Wei Zhang, 2014 .

Genome-wide analysis of the Drosophila immune response by using oligonucleotide microarrays

Paul T. Spellman, Gerald M. Rubin, Ennio De Gregorio, 2001, Proceedings of the National Academy of Sciences of the United States of America.

Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types

Yuan Ji, Ville Mustonen, Paul T. Spellman, 2018, bioRxiv.