AAontology: An ontology of amino acid scales for interpretable machine learning

A dose-response based model for statistical analysis of chemical genetic interactions in CRISPRi libraries

PxBLAT: An Ergonomic and Efficient Python Binding Library for BLAT

CellGO: A novel deep learning-based framework and webserver for cell type-specific gene function interpretation

Chrombus-XMBD: A Graph Generative Model Predicting 3D-Genome, ab initio from Chromatin Features

Bioinformatics and next generation data analysis reveals the potential role of inflammation in sepsis and its associated complications

Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

Multi-representation DeepInsight: an improvement on tabular data analysis

Can a Sparse 29 x 29 Pixel Chaos Game Representation Predict Protein Binding Sites using Fine-Tuned State-of-the Art Deep Learning Semantic Segmentation Models?

Single-linkage molecular clustering of viral pathogens

memerna: Sparse RNA Folding Including Coaxial Stacking

Interface-guided phenotyping of coding variants in the transcription factor RUNX1 with SEUSS

Comparing full variation profile analysis with the conventional consensus method in SARS-CoV-2 phylogeny

Neo-epitope identification by weakly-supervised peptide-TCR binding prediction

A versatile framework for drug-target interaction prediction by considering domain specific features

An AI-assisted Investigation of Tumor-Associated Macrophages and their Polarization in Colorectal Cancer

FiTMuSiC: Leveraging structural and (co)evolutionary data for protein fitness prediction

From Proteins to Ligands: Decoding Deep Learning Methods for Binding Affinity Prediction

Continuous lifelong learning for modeling of gene regulation from single cell multiome data by leveraging atlas-scale external data

SAMPLER: Empirical distribution representations for rapid analysis of whole slide tissue images