Deep Reinforcement Learning for de-novo Drug Design
- deeplearning
- reinforcement-learning
- cheminformatics
- molecular-modeling
Repository Index
47,133 repositories indexed
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Boost.Multiprecision
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)
Wrapper for RDKit's RunReactants to improve stereochemistry handling
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.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
- source-energy-balance
- canopy
- soil
- radiometric-temperatures
🏃 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
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
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.
Swift library like numpy, playgrounds notebook like jupyter.
- swift
- matrix
- linearalgebra
- playgrounds
GeneCompass
Integrated pipeline for multiplexed image analysis
- multiplexed-imaging
- python
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Detecting cancers on mobile phones
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning