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CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)

DeepPurpose

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

Jupyter Notebook

947

clinicalBERT

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

Jupyter Notebook

371

MolTrans

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

Jupyter Notebook

175

ml-genomics-resources

Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

SkipGNN

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)

Jupyter Notebook

ESPF

Explainable Substructure Partition Fingerprint for Protein, Drug, and More (NeurIPS 19 LMRL Workshop)

Jupyter Notebook

MolDesigner-Public

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning (NeurIPS 2020 Demo)

Python

DrugDataResource

Datasets for Drug Discovery and Development

scGNN

scGNN: scRNA-seq Dropout Imputation via Induced Hierarchical Cell Similarity Graph

Jupyter Notebook

drug-bert

Drug-BERT: Pre-training Drug Sub-structure Representation for Molecular Property Prediction

data_process

TDC Data Processing Tracker

NLP

Basic-Algorithm

data_analysis

experiment-data-llm

intro_ml_nyu

Jupyter Notebook

Coursera_Machine_Learning_Andrew

assignment for machine learning Coursera taught by Andrew Ng

MATLAB

kexinhuang12345/CASTER

kexinhuang12345

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