Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis - Wikidata - wikimedia - TriplyDB

Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis

Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis

http://www.wikidata.org/entity/Q24537769

about

Global topological features of cancer proteins in the human interactome Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review Sequential algorithm for fast clique percolation An integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathways T2D-Db: an integrated platform to study the molecular basis of Type 2 diabetes 3D-partner: a web server to infer interacting partners and binding models.Evidence for systems-level molecular mechanisms of tumorigenesis Characterization of protein-interaction networks in tumors.Probabilistic prediction and ranking of human protein-protein interactions.Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks.Predicting and validating protein interactions using network structure.The prediction of protein-protein interaction networks in rice blast fungus.Improved homology-driven computational validation of protein-protein interactions motivated by the evolutionary gene duplication and divergence hypothesis.Identifying protein complexes from interaction networks based on clique percolation and distance restriction Recent advances in clustering methods for protein interaction networks Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment.Inference of cancer-specific gene regulatory networks using soft computing rules.Finding statistically significant communities in networks.Finding and testing network communities by lumped Markov chains.Analysis of protein-protein interaction using proteinchip array-based SELDI-TOF mass spectrometry.Hierarchical information clustering by means of topologically embedded graphs.What evidence is there for the homology of protein-protein interactions?Analysing microarray data in drug discovery using systems biology.Cancer gene discovery in mouse and man.Extracting tag hierarchies.Link-Prediction Enhanced Consensus Clustering for Complex Networks Public databases and software for the pathway analysis of cancer genomes.Novel semantic similarity measure improves an integrative approach to predicting gene functional associations Community Structure Reveals Biologically Functional Modules in MEF2C Transcriptional Regulatory Network Prediction of protein-protein interactions on the basis of evolutionary conservation of protein functions.Comparative analysis of protein-protein interactions in cancer-associated genes.Prediction of protein-protein interactions between Ralstonia solanacearum and Arabidopsis thaliana.Comparative analysis of differential network modularity in tissue specific normal and cancer protein interaction networks.Functional and protein‑protein interaction network analysis of colorectal cancer induced by ulcerative colitis.Integrated analysis of the global transcriptional response to α-amylase over-production by Aspergillus oryzae.Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods.Community analysis in directed networks: in-, out-, and pseudocommunities.Nonparametric resampling of random walks for spectral network clustering.A generalised significance test for individual communities in networks.Random Matrix Analysis for Gene Interaction Networks in Cancer Cells.

P2860

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P2860

Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis

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Daniel Zicha

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Pall F Jonsson

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Gene ontology: tool for the unification of biology

Functional organization of the yeast proteome by systematic analysis of protein complexes

The Protein Data Bank

NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

Cluster analysis and display of genome-wide expression patterns

The biology of VEGF and its receptors

A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae

Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry

Suppressor of cytokine signaling 1 interacts with the macrophage colony-stimulating factor receptor and negatively regulates its proliferation signal

Analysing six types of protein-protein interfaces

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