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Name: XuDong Han
Type: User
Company: Southeast University
Bio: Bioinformatics and Basic Medicine
Location: Nanjing
Name: XuDong Han
Type: User
Company: Southeast University
Bio: Bioinformatics and Basic Medicine
Location: Nanjing
Identify cancer-related metabolic subpathways
A network-based systems biology tool for flexible identification of phenotype-specific subpathways in the cancer gene expression data with multiple categories (such as multiple subtype or developmental stages of cancer). Subtype Set Enrichment Analysis (SubSEA) and Dynamic Changed Subpathway Analysis (DCSA) are developed to flexible identify subtype specific and dynamic changed subpathways respectively. The operation modes include extraction of subpathways from biological pathways, inference of subpathway activities in the context of gene expression data, identification of subtype specific subpathways with SubSEA, identification of dynamic changed subpathways associated with the cancer developmental stage with DCSA, and visualization of the activities of resulting subpathways by using box plots and heat maps. Its capabilities render the tool could find the specific abnormal subpathways in the cancer dataset with multi-phenotype samples.
R package for scapGNN and article related scripts.
The Summary Mendelian randomization (SMR) method
Prioritization of Candidate Cancer Subtype Specific Drugs
SubtypeDrugData
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