single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
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Updated
Jun 18, 2024 - R
single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
My personal website, served at https://cthoyt.com
💊 Drug repurposing using knowledge graph embeddings with a focus on vector-borne diseases
Automated drug repurposing workflow for rare diseases – using Flask, Monarch API, DGIdb API and XGboost.
Code associated with "Comprehensive evaluation of collaborative filtering in drug repurposing"
Network-Oriented Repurposing of Drugs Python Package
Computational Analysis of Novel Drug Opportunities
A knowledge graph system with graph neural network for drug repurposing and disease mechanism.
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
我们的论文“基于知识图谱嵌入的阿尔茨海默病药物重定位研究”的代码。
RDKG-115: Assisting drug repurposing and discovery for rare diseases by trimodal knowledge graph embedding
Metabolic Drug Repurposing Pipeline
A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.
Drugst.One is a plug-and-play solution to make your biomedical (web-)tool drug repurposing ready. With just three lines of code the plugin can be integrated into your website within a few minues of work.
(DRExM³L) Drug REpurposing using eXplainable Machine Learning and Mechanistic Models of signal transduction
Single-Cell (Perturbation) Model Library
Awesome list of computational biology.
Biomedical knowledge graph & graph neural network models for drug repurposing.
Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.
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