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Publication search results
found 12 matches
- 2022
- Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He:
Ensembling improves stability and power of feature selection for deep learning models. MLCB 2022: 33-45 - Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek:
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. MLCB 2022: 61-73 - Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence:
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. MLCB 2022: 46-60 - Alexander Lin, Alex Lu:
Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images. MLCB 2022: 74-93 - Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J. Lee:
Energy-based Modelling for Single-cell Data Annotation. MLCB 2022: 94-109 - Tianyu Liu, Grant Greenberg, Ilan Shomorony:
CVQVAE: A representation learning based method for multi-omics single cell data integration. MLCB 2022: 1-15 - Antonio Majdandzic, Chandana Rajesh, Ziqi Tang, Shushan Toneyan, Ethan L. Labelson, Rohit K. Tripathy, Peter K. Koo:
Selecting deep neural networks that yield consistent attribution-based interpretations for genomics. MLCB 2022: 131-149 - Alexandra Sneddon, Pablo Acera Mateos, Nikolay Shirokikh, Eduardo Eyras:
Language-Informed Basecalling Architecture for Nanopore Direct RNA Sequencing. MLCB 2022: 150-165 - Kyle Swanson, Howard Chang, James Zou:
Predicting Immune Escape with Pretrained Protein Language Model Embeddings. MLCB 2022: 110-130 - Ethan Weinberger, Romain Lopez, Jan-Christian Hütter, Aviv Regev:
Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI. MLCB 2022: 16-32 - Lauren Berk Wheelock, Stephen Malina, Jeffrey Gerold, Sam Sinai:
Forecasting labels under distribution-shift for machine-guided sequence design. MLCB 2022: 166-180 - David A. Knowles, Sara Mostafavi, Su-In Lee:
Machine Learning in Computational Biology, 21-22 November 2022, Online. Proceedings of Machine Learning Research 200, PMLR 2022 [contents]
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