Poster Session
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Workshop: ICML 2022 Workshop on Computational Biology

Poster session #2 / Break

2022 Poster Session
in
Workshop: ICML 2022 Workshop on Computational Biology

Abstract

DIISCO: Dynamic Intercellular Interactions in Single Cell transcriptOmics
SPACE-GM: geometric deep learning of disease-associated microenvironments from multiplex spatial protein profiles.
Probabilistic basis decomposition for characterizing temporal dynamics of gene expression
A mechanistic probabilistic model of genomic compartments
SNVformer: An Attention-based Deep Neural Network for GWAS Data
Extracting Part of Signal Representation from Direct RNA Squiggle for Modification Detection
TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses
Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Assessing the utility of genomic deep learning models for disease-relevant variant effect prediction
Molecular Fingerprints Are a Simple Yet Effective Solution to the Drug–Drug Interaction Problem
Disentangling ancestry representations for improving genetic risk prediction across diverse population
Hierarchically weighted mixture modeling of drug combination responses
Uncertainty Quantification for Atlas-Level Cell Type Transfer
Learning representations from mass spectra for peptide property prediction
Joint Embedding of Biological Networks for Cross-Species Functional Alignment
MultiCPA: Multimodal Compositional Perturbation Autoencoder
LANTERN: An Interpretable Genotype-Phenotype Landscape Model
Toward Inferring Ancestral States and Evolutionary Parameters using a Variational Generative Model for Multiple Sequence Alignments
An Optimal Likelihood Free Method for Biological Model Selection
PEPSI: Post-docking Evaluation with Protein-Small Molecules Interaction
Deep Active Learning for De Novo Peptide Sequencing from Data-independent-acquisition Mass Spectrometry
Combating Extreme Adversarial Vulnerabilities in WSI Classification
Purification of single-cell transcriptomics data with coreset selection
Continual single-cell architecture surgery for reference mapping
Bayesian matrix factorization with integrated human genetics evidence for predicting the success of clinical trial outcomes

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