Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes | Nature Genetics
HotNet2 Algorithm: Detecting Cancer Genes & Disease with Precision
HotNet2 Algorithm: Detecting Cancer Genes & Disease with Precision
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes
MetaNetVar: Pipeline for applying network... | F1000Research
Comparison of network methods on GENESIS. Each method was run 5 times... | Download Scientific Diagram
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes | Nature Genetics
Biological networks and GWAS: comparing and combining network methods to understand the genetics of familial breast cancer susce
m6Acancer-Net: Identification of m6A-mediated cancer driver genes from gene-site heterogeneous network - ScienceDirect
Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases | PLOS Computational Biology
Molecules | Free Full-Text | Drug Repurposing for Japanese Encephalitis Virus Infection by Systems Biology Methods
Requirement
Error exsecute HotNet2 · Issue #42 · raphael-group/hotnet2 · GitHub
Figure S3: Comparison between nCOP and Hotnet2. For each cancer type,... | Download Scientific Diagram
Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin - ScienceDirect
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes | Nature Genetics
Requirement
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. - Abstract - Europe PMC
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation
Reply: Co-occurrence of MYC amplification and TP53 mutations in human cancer | Nature Genetics
Implementation of the HotNet2 Network Diffusion-based Analysis Method in Java
arXiv:1807.05637v3 [q-bio.MN] 14 Apr 2020
Stagewise identification of significantly mutated and dysregulated gene clusters in major molecular classes of breast invasive carcinoma | bioRxiv
Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes
