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Adam A Margolin

Showing results (1-10 of 49) with videos related to

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Annals of the New York Academy of Sciences|October 11, 2007
Theory and limitations of genetic network inference from microarray dataAdam A Margolin, Andrea Califano
Bioinformatics (Oxford, England)|August 28, 2014
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learningMehmet Gönen, Adam A Margolin
Nature Biotechnology|November 8, 2005
Boolean calculations made easy (for ribozymes)Adam A Margolin, Milan N Stojanovic
Plos One|October 8, 2014
Simulation studies as designed experiments: the comparison of penalized regression models in the "large p, small n" settingElias Chaibub Neto, J Christopher Bare, Adam A Margolin
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priorsIn Sock Jang, Rodrigo Dienstmann, Adam A Margolin, et al.
Bioinformatics (Oxford, England)|January 14, 2017
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studiesOlga Nikolova, Russell Moser, Christopher Kemp, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
The Stream algorithm: computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivityElias Chaibub Neto, In Sock Jang, Stephen H Friend, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 5, 2018
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networksErik A Burlingame, Adam A Margolin, Joe W Gray, et al.
Genome Biology|October 16, 2014
Toward better benchmarking: challenge-based methods assessment in cancer genomicsPaul C Boutros, Adam A Margolin, Joshua M Stuart, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line dataIn Sock Jang, Elias Chaibub Neto, Juistin Guinney, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Annals of the New York Academy of Sciences|October 11, 2007
Theory and limitations of genetic network inference from microarray dataAdam A Margolin, Andrea Califano
Bioinformatics (Oxford, England)|August 28, 2014
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learningMehmet Gönen, Adam A Margolin
Nature Biotechnology|November 8, 2005
Boolean calculations made easy (for ribozymes)Adam A Margolin, Milan N Stojanovic
Plos One|October 8, 2014
Simulation studies as designed experiments: the comparison of penalized regression models in the "large p, small n" settingElias Chaibub Neto, J Christopher Bare, Adam A Margolin
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priorsIn Sock Jang, Rodrigo Dienstmann, Adam A Margolin, et al.
Bioinformatics (Oxford, England)|January 14, 2017
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studiesOlga Nikolova, Russell Moser, Christopher Kemp, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
The Stream algorithm: computationally efficient ridge-regression via Bayesian model averaging, and applications to pharmacogenomic prediction of cancer cell line sensitivityElias Chaibub Neto, In Sock Jang, Stephen H Friend, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 5, 2018
SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networksErik A Burlingame, Adam A Margolin, Joe W Gray, et al.
Genome Biology|October 16, 2014
Toward better benchmarking: challenge-based methods assessment in cancer genomicsPaul C Boutros, Adam A Margolin, Joshua M Stuart, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 4, 2013
Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line dataIn Sock Jang, Elias Chaibub Neto, Juistin Guinney, et al.
Pageof 5