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Volume 240: Machine Learning in Computational Biology, 30-1 December 2023, Seattle, WA, USA
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Editors: David A. Knowles, Sara Mostafavi
A Masked Image Modeling Approach to CyCIF Panel Reduction and Marker Imputation
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:1-9
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Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:10-22
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Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:23-59
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Disentangling shared and private latent factors in multimodal Variational Autoencoders
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:60-75
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Evaluating Tuning Strategies for Sequence Generation with Protein Language Models
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:76-89
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A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:90-100
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A Transductive Approach to Survival Ranking for Cancer Risk Stratification
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:101-109
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Towards creating longer genetic sequences with GANs: Generation in principal component space
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:110-122
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On Modelability and Generalizability: Are Machine Learning Models for Drug Synergy Exploiting Artefacts and Biases in Available Data?
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:123-134
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A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:135-147
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ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:148-162
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Investigating RNA splicing as a source of cellular diversity using a binomial mixture model
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:163-175
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Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:176-193
TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:194-229
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H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:230-249
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GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function Models
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:250-266
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Improving transformer secondary structure predictions with secondary structure ”fixing” task
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:267-278
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Characterizing uncertainty in predictions of genomic sequence-to-activity models
; Proceedings of the 18th Machine Learning in Computational Biology meeting, PMLR 240:279-297
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