pulimeng
Deep learning, multi-omics, computational biology, genetics, epigenetics, systems biology
St. Jude Children's Research HospitalMemphis
Pinned Repositories
3D-deep-learning
Biology-Network-Reduction
Graph representation for system biology networks and the reduction of them for machine learning purposes
CancerOmicsNet
A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines
DeepDrug3D
A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.
eToxPred
A simple tool to predict the general toxicity and calculate the synthesize accessibility (SA) score for small molecules.
Featured-Graph-Informatics
Calculations of graph informatics (mainly entropy) for graphs with features to evaluate the results of graph reduction
PocketCaptioning
Seq2Karyotype
Seq2Karyotype (S2K) is an innovative algorithm for analyzing copy number alterations (CNAs) using single-sample whole-genome sequencing (WGS) data. It overcomes limitations of traditional methods by modeling CNA heterogeneity, estimating clonality, and karyotyping without the need for paired normal samples.
The-Databases-for-Drug-Discovery
The Databases for Drug Discovery (DDD)
Useful_GNN_models
Some useful GNN models
pulimeng's Repositories
pulimeng/DeepDrug3D
A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.
pulimeng/eToxPred
A simple tool to predict the general toxicity and calculate the synthesize accessibility (SA) score for small molecules.
pulimeng/CancerOmicsNet
A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines
pulimeng/3D-deep-learning
pulimeng/Featured-Graph-Informatics
Calculations of graph informatics (mainly entropy) for graphs with features to evaluate the results of graph reduction
pulimeng/Biology-Network-Reduction
Graph representation for system biology networks and the reduction of them for machine learning purposes
pulimeng/PocketCaptioning
pulimeng/Seq2Karyotype
Seq2Karyotype (S2K) is an innovative algorithm for analyzing copy number alterations (CNAs) using single-sample whole-genome sequencing (WGS) data. It overcomes limitations of traditional methods by modeling CNA heterogeneity, estimating clonality, and karyotyping without the need for paired normal samples.
pulimeng/Useful_GNN_models
Some useful GNN models
pulimeng/The-Databases-for-Drug-Discovery
The Databases for Drug Discovery (DDD)