Mathematical and statistical modeling in cancer systems biology - Wikidata - awgldk - TriplyDB

Mathematical and statistical modeling in cancer systems biology

Mathematical and statistical modeling in cancer systems biology

http://www.wikidata.org/entity/Q38023403

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Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles.A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.MicroRNA pharmacogenomics based integrated model of miR-17-92 cluster in sorafenib resistant HCC cells reveals a strategy to forestall drug resistance.Advances in systems immunology and cancer Network Pharmacology Strategies Toward Multi-Target Anticancer Therapies: From Computational Models to Experimental Design Principles.Topological and kinetic determinants of the modal matrices of dynamic models of metabolism.Improving cancer detection through combinations of cancer and immune biomarkers: a modelling approach.Machine Learning for In Silico Modeling of Tumor Growth

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Mathematical and statistical modeling in cancer systems biology

http://www.wikidata.org/entity/Q38023403

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Mathematical and statistical modeling in cancer systems biology

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FPHYS.2012.00227

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Frontiers in Physiology

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Mathematical and statistical modeling in cancer systems biology

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Daniel P Gaille

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David L Trichler

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Rachael Hageman Blair

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P2860

Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility

WGCNA: an R package for weighted correlation network analysis

Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions

Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway

KEGG: Kyoto Encyclopedia of Genes and Genomes

Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network

COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer

A census of human cancer genes

Global reconstruction of the human metabolic network based on genomic and bibliomic data

Clustering cancer gene expression data: a comparative study

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