Optimization and Computational Systems Biology Lab
: Variant intepretation by Paired Expression and Chromatin Accessibility modeling
: TIME course REGulatory analysis based on paired expression and chromatin accessibility data
: Paired Expression and Chromatin Accessibility modeling
: A Gene Regulatory Network Inference tool from multiple microarray datasets
: a tool to reveal relevant tissue and associated the reulations among regulatory element and target gene for GWAS study.
: a high-quality Regulatory network of Cranial Neural Crest Cell (CNCC), built by consensus optimization.
: a method to identify safeguard TF from cell type -TF network by an extended mimimum set cover model.
: a method to reveal transcriptional cofactor and predict binding for DNA methyltransferase by network regularization.
: A convenient tool for marker detection based on single cell RNA-seq data.
: Deconvolution and coupled clustering from bulk and single cell genomics data
: Integrative analysis of single cell genomics data by coupled nonnegative matrix factorizations
: a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions
: A Gene Network reconstruction tool with compound Targets by Integrating multiple microarray datasets and prior information
: Mixed Integer Linear Programming for multiple-biomarker panel identification
: Alignment of molecular networks by quadratic programming
: Mixed Integer programming Model to Identify Cell type specific marker panel
: Nearest Centriod Classifier for AUC valuation
: Network predicting drug's anatomical therapeutic chemical code
: Drug repositioning from chemical, genomic and pharmacological data in an integrated framework
: Machine learning framework to Predict PPI target for drug
: A combinatorial model and algorithm for globally searching community structure in complex networks
: Network Ontology Analysis
: Drug-Gene-Disease coherent SUBNETworks
: Prediction of protein-RNA binding sites by a random forest method with combined features
: Predicting gene ontology functions from protein's regional surface structures
: protein Structure Alignment by Neighborhood Alignment
: a protein structure alignment tool based on multiple objective optimization
: Predicting protein interactions based on parsimony tendency of domain interactions
: PPI prediction tool based on multiple domain cooperation analysis
ZHANGroup in AMSS, CAS
Wonglab in Stanford University
Yu Xia's Lab in McGill University
Luonan Chen's Lab in SIBS, CAS
Katsuhisa Horimoto's group in National Institute of Advanced Industrial Science and Technology
My citation in Google Scholar
My Research ID
Yong Wang Lab | Academy of Mathematics and Systems Science | Chinese Academy of Sciences