Pinned Repositories
Disease-Mesh-Similarity
For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.
GNNPapers
Must-read papers on graph neural networks (GNN)
HampDTI
A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
iLearn
iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.
kaggle_titanic_tutorial
kaggle_titanic_tutorial(data preprocessing, feature engineering, modeling)
Parallel-SGD
Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.
PyFeat
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
SCMFDD
SumGNN
This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)
sirpan's Repositories
sirpan/Disease-Mesh-Similarity
For each disease, a directed acyclic graph (DAG) is constructed based on hierarchical descriptors, in which nodes represent disease MeSH descriptors (or disease terms) and edges represent the relationship between the current node and its ancestors. Then compare the DAG Similarity.
sirpan/GNNPapers
Must-read papers on graph neural networks (GNN)
sirpan/HampDTI
A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
sirpan/iLearn
iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.
sirpan/kaggle_titanic_tutorial
kaggle_titanic_tutorial(data preprocessing, feature engineering, modeling)
sirpan/Parallel-SGD
Parallel implementation of Stochastic Gradient Descent using SciKit-Learn library in Python.
sirpan/PyFeat
A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
sirpan/SCMFDD
sirpan/SumGNN
This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'. (published in Bioinformatics'21)