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Martin Ester

Showing results (1-10 of 34) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
ParKCa: Causal Inference with Partially Known CausesRaquel Aoki, Martin Ester
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
BAYESIAN BICLUSTERING FOR PATIENT STRATIFICATIONSahand Khakabimamaghani, Martin Ester
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Multi-treatment Effect Estimation from Biomedical DataRaquel Aoki, Yizhou Chen, Martin Ester
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 9, 2019
Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random FieldsLu Zhu, Ralf Hofestadt, Martin Ester
BMC Bioinformatics|January 16, 2022
Aristotle: stratified causal discovery for omics dataMehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, et al.
International Journal of Molecular Sciences|August 23, 2020
Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer TherapiesOliver Snow, Nada Lallous, Martin Ester, et al.
Plos Computational Biology|November 12, 2019
Uncovering the subtype-specific temporal order of cancer pathway dysregulationSahand Khakabimamaghani, Dujian Ding, Oliver Snow, et al.
Bioinformatics (Oxford, England)|September 13, 2019
MOLI: multi-omics late integration with deep neural networks for drug response predictionHossein Sharifi-Noghabi, Olga Zolotareva, Colin C Collins, et al.
Journal of Cheminformatics|November 1, 2017
SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machinesTong He, Marten Heidemeyer, Fuqiang Ban, et al.
Plos One|March 22, 2019
Performance comparison of linear and non-linear feature selection methods for the analysis of large survey datasetsOlga Krakovska, Gregory Christie, Andrew Sixsmith, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 10, 2021
ParKCa: Causal Inference with Partially Known CausesRaquel Aoki, Martin Ester
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
BAYESIAN BICLUSTERING FOR PATIENT STRATIFICATIONSahand Khakabimamaghani, Martin Ester
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Multi-treatment Effect Estimation from Biomedical DataRaquel Aoki, Yizhou Chen, Martin Ester
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 9, 2019
Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random FieldsLu Zhu, Ralf Hofestadt, Martin Ester
BMC Bioinformatics|January 16, 2022
Aristotle: stratified causal discovery for omics dataMehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, et al.
International Journal of Molecular Sciences|August 23, 2020
Deep Learning Modeling of Androgen Receptor Responses to Prostate Cancer TherapiesOliver Snow, Nada Lallous, Martin Ester, et al.
Plos Computational Biology|November 12, 2019
Uncovering the subtype-specific temporal order of cancer pathway dysregulationSahand Khakabimamaghani, Dujian Ding, Oliver Snow, et al.
Bioinformatics (Oxford, England)|September 13, 2019
MOLI: multi-omics late integration with deep neural networks for drug response predictionHossein Sharifi-Noghabi, Olga Zolotareva, Colin C Collins, et al.
Journal of Cheminformatics|November 1, 2017
SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machinesTong He, Marten Heidemeyer, Fuqiang Ban, et al.
Plos One|March 22, 2019
Performance comparison of linear and non-linear feature selection methods for the analysis of large survey datasetsOlga Krakovska, Gregory Christie, Andrew Sixsmith, et al.
Pageof 4