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
Chat is not available.