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2020 – today
- 2021
[j10]Gonzalo López
, Laura E. Egolf, Federico M. Giorgi, Sharon J. Diskin, Adam A. Margolin:
svpluscnv: analysis and visualization of complex structural variation data. Bioinform. 37(13): 1912-1914 (2021)
2010 – 2019
- 2018
- [j9]Dorota H. Sendorek, Cristian Caloian, Kyle Ellrott, J. Christopher Bare, Takafumi N. Yamaguchi, Adam D. Ewing, Kathleen E. Houlahan, Thea C. Norman, Adam A. Margolin, Joshua M. Stuart, Paul C. Boutros:
Germline contamination and leakage in whole genome somatic single nucleotide variant detection. BMC Bioinform. 19(1): 28:1-28:9 (2018) - [j8]Christopher I Cooper, Delia Yao, Dorota H. Sendorek, Takafumi N. Yamaguchi, Christine P'ng, Kathleen E. Houlahan, Cristian Caloian, Michael Fraser, Kyle Ellrott, Adam A. Margolin, Robert G. Bristow, Joshua M. Stuart, Paul C. Boutros:
Valection: design optimization for validation and verification studies. BMC Bioinform. 19(1): 339:1-339:11 (2018) - [c13]Erik A. Burlingame, Adam A. Margolin, Joe W. Gray, Young Hwan Chang:
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks. Medical Imaging: Digital Pathology 2018: 1058105 - 2017
- [j7]Olga Nikolova, Russell Moser, Christopher Kemp, Mehmet Gönen, Adam A. Margolin:
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies. Bioinform. 33(9): 1362-1369 (2017) - [c12]Young Hwan Chang, Guillaume Thibault, Owen Madin, Vahid Azimi, Cole Meyers, Brett Johnson, Jason Link, Adam A. Margolin, Joe W. Gray:
Deep learning based Nucleus Classification in pancreas histological images. EMBC 2017: 672-675 - [c11]Young Hwan Chang, Takahiro Tsujikawa, Adam A. Margolin, Lisa M. Coussens, Joe W. Gray:
Multiplexed immunohistochemistry image analysis using sparse coding. EMBC 2017: 4046-4049 - [c10]Vahid Azimi, Young Hwan Chang, Guillaume Thibault, Jaclyn Smith, Takahiro Tsujikawa, Benjamin Kukull, Bradden Jensen, Christopher Corless, Adam A. Margolin, Joe W. Gray:
Breast cancer histopathology image analysis pipeline for tumor purity estimation. ISBI 2017: 1137-1140 - [c9]Young Hwan Chang, Guillaume Thibault, Brett Johnson, Adam A. Margolin, Joe W. Gray:
Integrative analysis on histopathological image for identifying cellular heterogeneity. Medical Imaging: Digital Pathology 2017: 101400T - 2016
- [c8]Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam A. Margolin, Joe W. Gray:
Quantitative analysis of histological tissue image based on cytological profiles and spatial statistics. EMBC 2016: 1175-1178 - 2015
- [j6]Benedict Paten, Mark Diekhans, Brian J. Druker, Stephen H. Friend, Justin Guinney, Nadine Gassner, Mitchell Guttman, W. James Kent, Patrick Mantey, Adam A. Margolin, Matt Massie, Adam M. Novak, Frank A. Nothaft, Lior Pachter, David A. Patterson, Maciej Smuga-Otto, Joshua M. Stuart, Laura J. van't Veer, Barbara J. Wold, David Haussler:
The NIH BD2K center for big data in translational genomics. J. Am. Medical Informatics Assoc. 22(6): 1143-1147 (2015) - [c7]Søren Brunak, Francisco M. de la Vega, Adam A. Margolin, Benjamin J. Raphael, Gunnar Rätsch, Joshua M. Stuart:
Session Introduction. Pacific Symposium on Biocomputing 2015: 8-9 - [c6]In Sock Jang, Rodrigo Dienstmann, Adam A. Margolin, Justin Guinney:
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors. Pacific Symposium on Biocomputing 2015: 32-43 - 2014
- [j5]Mehmet Gönen, Adam A. Margolin:
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning. Bioinform. 30(17): 556-563 (2014) - [c5]Mehmet Gönen, Adam A. Margolin:
Kernelized Bayesian Transfer Learning. AAAI 2014: 1831-1839 - [c4]Mehmet Gönen, Adam A. Margolin:
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology. NIPS 2014: 1305-1313 - [c3]Elias Chaibub Neto, In Sock Jang, Stephen H. Friend, Adam A. Margolin:
The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity. Pacific Symposium on Biocomputing 2014: 27-38 - [c2]In Sock Jang, Elias Chaibub Neto, Justin Guinney, Stephen H. Friend, Adam A. Margolin:
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data. Pacific Symposium on Biocomputing 2014: 63-74 - 2013
- [j4]Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jorg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H. Friend, Trey Ideker, Eric E. Schadt, Gustavo A. Stolovitzky, Adam A. Margolin:
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. PLoS Comput. Biol. 9(5) (2013)
2000 – 2009
- 2007
- [j3]Adam A. Margolin, Teresa Palomero, Adolfo A. Ferrando, Andrea Califano, Gustavo Stolovitzky:
ChIP-on-chip significance analysis reveals ubiquitous transcription factor binding. BMC Bioinform. 8(S-8) (2007) - 2006
- [j2]Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano:
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context. BMC Bioinform. 7(S-1) (2006) - [c1]Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam A. Margolin, Andrea Califano:
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes. RECOMB 2006: 348-362 - 2005
- [j1]Adam A. Margolin, Joel Greshock, Tara L. Naylor, Yael Mosse, John M. Maris, Graham Bignell, Alexander I. Saeed, John Quackenbush, Barbara L. Weber:
CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data. Bioinform. 21(15): 3308-3311 (2005)
Coauthor Index
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