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Editors: David A Knowles, Sara Mostafavi, Su-In Lee
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CVQVAE: A representation learning based method for multi-omics single cell data integration
; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:1-15
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Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI
Ethan Weinberger, Romain Lopez, Jan-Christian Huetter, Aviv Regev; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:16-32
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Ensembling improves stability and power of feature selection for deep learning models
Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:33-45
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Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs
Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah Teichmann, Neil D. Lawrence; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:46-60
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A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction
Krzysztof Koras, Marcin Možejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:61-73
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Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images
Alexander Lin, Alex Lu; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:74-93
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Energy-based Modelling for Single-cell Data Annotation
Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J Lee; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:94-109
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Predicting Immune Escape with Pretrained Protein Language Model Embeddings
Kyle Swanson, Howard Chang, James Zou; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:110-130
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Selecting deep neural networks that yield consistent attribution-based interpretations for genomics
Antonio Majdandzic, Chandana Rajesh, Ziqi Tang, Shushan Toneyan, Ethan L. Labelson, Rohit K. Tripathy, Peter K. Koo; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:131-149
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Language-Informed Basecalling Architecture for Nanopore Direct RNA Sequencing
Alexandra Sneddon, Pablo Acera Mateos, Nikolay Shirokikh, Eduardo Eyras; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:150-165
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Forecasting labels under distribution-shift for machine-guided sequence design
Lauren B Wheelock, Stephen Malina, Jeffrey Gerold, Sam Sinai; Proceedings of the 17th Machine Learning in Computational Biology meeting, PMLR 200:166-180
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