Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Cho codon optimization WIP

A collection of modules that are combined into 1-5 day workshops on computational topics for the childhood cancer research community.

Benchmarking analysis of data integration tools

An RNAi pipeline is applied to the genome of SARS like corona virus (SARS-CoV-2) which causes COVID-19 yielding 17 candidate siRNA sequences for nebulization tests hitting 9 distinct loci over the …

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Lime: Explaining the predictions of any machine learning classifier

Uniform Manifold Approximation and Projection

Official Pytorch implementation of TargetNet, Bioinformatics 2022

The ViennaRNA Package

Linking drug target and pathway activation for effective therapy using multi-task learning

DeepWalk - Deep Learning for Graphs

Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

All Model summary in PyTorch similar to `model.summary()` in Keras

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

A collection of important graph embedding, classification and representation learning papers with implementations.