Repository Index

The repository host gives no description.

Code for the ProteinMPNN paper

The repository host gives no description.

• foundation-model
• gpt
• single-cell

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

• drug-repurposing
• deep-learning
• drug-target-interactions
• toolkit

Foundation Models for Genomics & Transcriptomics

• genomics
• deep-learning
• transformer
• dna

:christmas_tree:Visualization and annotation of phylogenetic trees

• r
• visualization
• phylogenetic-trees
• annotations

Precision Medicine Knowledge Graph (PrimeKG)

• knowledge-graph
• precision-medicine
• therapeutics
• bioinformatics

C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

• variant-calling
• genomics
• vcf-manipulation
• genotyping

The repository host gives no description.

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star

• dna
• language-model
• variant-effect-prediction
• genomics

The repository host gives no description.

Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell

• histology
• wsi-images
• pan-cancer-analysis
• genomics

MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)

scPerturb: A resource and a python/R tool for single-cell perturbation data

• cite-seq
• database
• perturbation
• scatac-seq

Repository for Nicheformer: a foundation model for single-cell and spatial omics

The repository host gives no description.

🏃 The go-to single-cell Foundation Model

• batch-correction
• cell-biology
• celltype-annotation
• denoising

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

• protein
• protein-sequences
• protein-design
• representation-learning

The repository host gives no description.

The repository host gives no description.

GeneCompass