Paul T. Spellman - researchr alias

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Viewing Publication 1 - 28 from 28

2021

Causal interactions from proteomic profiles: Molecular data meet pathway knowledgeÖzgün Babur, Augustin Luna, Anil Korkut, Funda Durupinar, Metin Can Siper, Ugur Dogrusoz, Alvaro Sebastian Vaca Jacome, Ryan Peckner, Karen E. Christianson, Jacob D. Jaffe, Paul T. Spellman, Joseph E. Aslan, Chris Sander, Emek Demir. patterns, 2(6):100257, 2021. [doi]

2020

The evolutionary history of 2,658 cancersMoritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff Macintyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung-Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo. nature, 578(7793):122-128, 2020. [doi]

2015

Predictive sparse morphometric context for classification of histology sectionsHang Chang, Paul T. Spellman, Bahram Parvin. isbi 2015: 1004-1007 [doi]

Stacked Predictive Sparse Decomposition for Classification of Histology SectionsHang Chang, Yin Zhou, Alexander Borowsky, Kenneth E. Barner, Paul T. Spellman, Bahram Parvin. ijcv, 113(1):3-18, 2015. [doi]

2014

Classification of Histology Sections via Multispectral Convolutional Sparse CodingYin Zhou, Hang Chang, Kenneth E. Barner, Paul T. Spellman, Bahram Parvin. cvpr 2014: 3081-3088 [doi]

2013

Classification of Tumor Histology via Morphometric ContextHang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin. cvpr 2013: 2203-2210 [doi]

Characterization of Tissue Histopathology via Predictive Sparse Decomposition and Spatial Pyramid MatchingHang Chang, Nandita Nayak, Paul T. Spellman, Bahram Parvin. miccai 2013: 91-98 [doi]

Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor HistopathologyHang Chang, Yin Zhou, Paul T. Spellman, Bahram Parvin. iccv 2013: 169-176 [doi]

Invariant Delineation of Nuclear Architecture in Glioblastoma Multiforme for Clinical and Molecular AssociationHang Chang, Ju Han, Alexander Borowsky, Leandro A. Loss, Joe W. Gray, Paul T. Spellman, Bahram Parvin. tmi, 32(4):670-682, 2013. [doi]

Classification of tumor histopathology via sparse feature learningNandita Nayak, Hang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin. In ISBI. 2013: 1348-1351 [doi]

Classification of tumor histopathology via sparse feature learningNandita Nayak, Hang Chang, Alexander Borowsky, Paul T. Spellman, Bahram Parvin. In ISBI. 2013: 410-413 [doi]

Methods and challenges in timing chromosomal abnormalities within cancer samplesElizabeth Purdom, Christine Ho, Catherine S. Grasso, Michael Quist, Raymond J. Cho, Paul T. Spellman. bioinformatics, 29(24):3113-3120, 2013. [doi]

2012

Batch-invariant nuclear segmentation in whole mount histology sectionsHang Chang, Leandro A. Loss, Paul T. Spellman, Alexander Borowsky, Bahram Parvin. isbi 2012: 856-859 [doi]

Multireference Level Set for the Characterization of Nuclear Morphology in Glioblastoma MultiformeHang Chang, Ju Han, Paul T. Spellman, Bahram Parvin. tbe, 59(12):3460-3467, 2012. [doi]

Molecular bases of morphometric composition in Glioblastoma multiformeJu Han, Hang Chang, Gerald Fontenay, Paul T. Spellman, Alexander Borowsky, Bahram Parvin. isbi 2012: 1631-1634 [doi]

Integrating biological knowledge into variable selection: an empirical Bayes approach with an application in cancer biologySteven M. Hill, Richard M. Neve, Nora Bayani, Wen-Lin Kuo, Safiyyah Ziyad, Paul T. Spellman, Joe W. Gray, Sach Mukherjee. bmcbi, 13:94, 2012. [doi]

Bayesian Inference of Signaling Network Topology in a Cancer Cell LineSteven M. Hill, Yiling Lu, Jennifer Molina, Laura Heiser, Paul T. Spellman, Terence P. Speed, Joe W. Gray, Gordon B. Mills, Sach Mukherjee. bioinformatics, 28(21):2804-2810, 2012. [doi]

Learning invariant features of tumor signaturesQuoc V. Le, Ju Han, Joe W. Gray, Paul T. Spellman, Alexander Borowsky, Bahram Parvin. isbi 2012: 302-305 [doi]

2011

2010

Prediction of epigenetically regulated genes in breast cancer cell linesLeandro A. Loss, Anguraj Sadanandam, Steffen Durinck, Shivani Nautiya, Diane Flaucher, Victoria E. H. Carlton, Martin Moorhead, Yontao Lu, Joe W. Gray, Malek Faham, Paul T. Spellman, Bahram Parvin. bmcbi, 11:305, 2010. [doi]

2009

GenomeGraphs: integrated genomic data visualization with RSteffen Durinck, James Bullard, Paul T. Spellman, Sandrine Dudoit. bmcbi, 10, 2009. [doi]

Sparse combinatorial inference with an application in cancer biologySach Mukherjee, Steven Pelech, Richard M. Neve, Wen-Lin Kuo, Safiyyah Ziyad, Paul T. Spellman, Joe W. Gray, Terence P. Speed. bioinformatics, 25(2):265-271, 2009. [doi]

2006

2002

An open letter to the scientific journalsCatherine A. Ball, Gavin Sherlock, Helen E. Parkinson, Philippe Rocca-Serra, Catherine Brooksbank, Helen C. Causton, Duccio Cavalieri, Terry Gaasterland, Pascal Hingamp, Frank Holstege, Martin Ringwald, Paul T. Spellman, Christian J. Stoeckert Jr., Jason E. Stewart, Ronald Taylor, Alvis Brazma, John Quackenbush. bioinformatics, 18(11):1409, 2002.

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2021

2020

2015

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2012

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2001

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