shx2020's 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.
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
Awesome-Bioinformatics
A curated list of awesome Bioinformatics libraries and software.
brainMI
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network
ChromeAppHeroes
🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~ 公众号「0加1」同步更新
clusterProfiler
:bar_chart: A universal enrichment tool for interpreting omics data
deeplearning-1
深度学习相关的模型训练、评估和预测相关代码
DTI-GRNNwBF
Drug-Target Interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GAEMDA
A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction
GloDyNE
GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718
graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
MAN
Codes and data for the paper entitled "Learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network"
MLPMDA
MLPMDA：用于预测miRNA-疾病关联的多层线性投影
NECARE
NEtwork-based CAncer gene RElationship prediciton
pycaret
An open-source, low-code machine learning library in Python
Python-GCNMK
Predicting potential drug-drug interactions.
python-string-similarity
A library implementing different string similarity and distance measures using Python.
StackPPI
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier