Adam A. Margolin

23 papers A* 1B 1Misc 4Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
svpluscnv: analysis and visualization of complex structural variation data.
Bioinform.
Gonzalo López, Laura E. Egolf, Federico M. Giorgi, Sharon J. Diskin, Adam A. Margolin
2018 J jnl
Germline contamination and leakage in whole genome somatic single nucleotide variant detection.
BMC Bioinform.
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
2018 — conf
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks.
Digital Pathology
Erik A. Burlingame, Adam A. Margolin, Joe W. Gray, Young Hwan Chang
2018 J jnl
Valection: design optimization for validation and verification studies.
BMC Bioinform.
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
2017 — conf
Breast cancer histopathology image analysis pipeline for tumor purity estimation.
ISBI
Vahid Azimi, Young Hwan Chang, Guillaume Thibault, Jaclyn Smith, Takahiro Tsujikawa, Benjamin Kukull, Bradden Jensen, Christopher Corless, Adam A. Margolin, Joe W. Gray
2017 — conf
Deep learning based Nucleus Classification in pancreas histological images.
EMBC
Young Hwan Chang, Guillaume Thibault, Owen Madin, Vahid Azimi, Cole Meyers, Brett Johnson, Jason Link, Adam A. Margolin, Joe W. Gray
2017 — conf
Integrative analysis on histopathological image for identifying cellular heterogeneity.
Digital Pathology
Young Hwan Chang, Guillaume Thibault, Brett Johnson, Adam A. Margolin, Joe W. Gray
2017 J jnl
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.
Bioinform.
Olga Nikolova, Russell Moser, Christopher Kemp, Mehmet Gönen, Adam A. Margolin
2017 — conf
Multiplexed immunohistochemistry image analysis using sparse coding.
EMBC
Young Hwan Chang, Takahiro Tsujikawa, Adam A. Margolin, Lisa M. Coussens, Joe W. Gray
2016 — conf
Quantitative analysis of histological tissue image based on cytological profiles and spatial statistics.
EMBC
Young Hwan Chang, Guillaume Thibault, Vahid Azimi, Brett Johnson, Danielle Jorgens, Jason Link, Adam A. Margolin, Joe W. Gray
2015 Misc conf
Session Introduction.
Pacific Symposium on Biocomputing
Søren Brunak, Francisco M. de la Vega, Adam A. Margolin, Benjamin J. Raphael, Gunnar Rätsch, Joshua M. Stuart
2015 Misc conf
Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors.
Pacific Symposium on Biocomputing
In Sock Jang, Rodrigo Dienstmann, Adam A. Margolin, Justin Guinney
2015 J jnl
The NIH BD2K center for big data in translational genomics.
J. Am. Medical Informatics Assoc.
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
2014 J jnl
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning.
Bioinform.
Mehmet Gönen, Adam A. Margolin
2014 A* conf
Kernelized Bayesian Transfer Learning.
AAAI
Mehmet Gönen, Adam A. Margolin
2014 — conf
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology.
NIPS
Mehmet Gönen, Adam A. Margolin
2014 Misc conf
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data.
Pacific Symposium on Biocomputing
In Sock Jang, Elias Chaibub Neto, Justin Guinney, Stephen H. Friend, Adam A. Margolin
2014 Misc conf
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
Elias Chaibub Neto, In Sock Jang, Stephen H. Friend, Adam A. Margolin
2013 J jnl
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol.
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
2007 J jnl
ChIP-on-chip significance analysis reveals ubiquitous transcription factor binding.
BMC Bioinform.
Adam A. Margolin, Teresa Palomero, Adolfo A. Ferrando, Andrea Califano, Gustavo Stolovitzky
2006 J jnl
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context.
BMC Bioinform.
Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano
2006 B conf
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes.
RECOMB
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam A. Margolin, Andrea Califano
2005 J jnl
CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data.
Bioinform.
Adam A. Margolin, Joel Greshock, Tara L. Naylor, Yael Mosse, John M. Maris, Graham Bignell, Alexander I. Saeed, John Quackenbush, Barbara L. Weber