Adam A. Margolin

According to our database1, Adam A. Margolin authored at least 23 papers between 2005 and 2021.

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Bibliography

2021
svpluscnv: analysis and visualization of complex structural variation data.
Bioinform., 2021

2018
Germline contamination and leakage in whole genome somatic single nucleotide variant detection.
BMC Bioinform., 2018

Valection: design optimization for validation and verification studies.
BMC Bioinform., 2018

SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2017
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.
Bioinform., 2017

Integrative analysis on histopathological image for identifying cellular heterogeneity.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017

Breast cancer histopathology image analysis pipeline for tumor purity estimation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multiplexed immunohistochemistry image analysis using sparse coding.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Deep learning based Nucleus Classification in pancreas histological images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Quantitative analysis of histological tissue image based on cytological profiles and spatial statistics.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
The NIH BD2K center for big data in translational genomics.
J. Am. Medical Informatics Assoc., 2015

Stepwise Group Sparse Regression (SGSR): Gene-Set-Based Pharmacogenomic Predictive Models with Stepwise Selection of Functional Priors.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Session Introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning.
Bioinform., 2014

The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Kernelized Bayesian Transfer Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol., 2013

2007
ChIP-on-chip significance analysis reveals ubiquitous transcription factor binding.
BMC Bioinform., 2007

2006
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context.
BMC Bioinform., 2006

Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes.
Proceedings of the Research in Computational Molecular Biology, 2006

2005
CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data.
Bioinform., 2005


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