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Computational Systems Biology of Cancer / Emmanuel Barillot, Philippe Hupé, Laurence Calzone ... [et al.]

Ouvrage
Auteur secondaire: Barillot, Emmanuel, 1968-...., bioinformaticien, Auteur•Hupe, Philippe, 1976-..., Auteur•Calzone, Laurence, 19..-...., Auteur•Vert, Jean-Philippe, 1973-...., mathématicien, Auteur•Zinovyev , Andrei, 1974-...., AuteurLangue : anglaisPays : Etats-Unis.Production : Boca Raton, FL : CRC PressDate du copyright : 2013Description: 1 vol. (XXIX-423 p.), ill. couv. ill. en coul., 25 cmISBN : 9781439831441; 1-439-83144-0.Collection: Chapman & Hall/CRC mathematical and computational biology seriesNote de contenu : Introduction : why systems biology of cancer? Basic principles of the molecular biology of cancer Experimental high-throughput technologies for cancer research Bioinformatics tools and standards for systems biology Exploring the diversity of cancers Prognosis and prediction : towards individualised treatments Mathematical modelling applied to cancer cell biology Mathematical modelling of cancer hallmarks Cancer robustness : facts and hypotheses Cancer robustness : mathematical foundations Finding new cancer targets Bibliographie : Bibliogr. p. 381-415. Index.Sujet - Nom commun: Cancer -- Recherche | Cancer -- Research -- Methodology | Systems biology | Computational biology | Bioinformatics | Computational Biology -- methods | Neoplasms -- therapy
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Item type Current library Call number Status Date due Barcode
Ouvrage Ouvrage La bibliothèque de l'ESPCI Salle de lecture SM-016 (Browse shelf(Opens below)) Available SM-016

Bibliogr. p. 381-415. Index

Introduction : why systems biology of cancer? Basic principles of the molecular biology of cancer Experimental high-throughput technologies for cancer research Bioinformatics tools and standards for systems biology Exploring the diversity of cancers Prognosis and prediction : towards individualised treatments Mathematical modelling applied to cancer cell biology Mathematical modelling of cancer hallmarks Cancer robustness : facts and hypotheses Cancer robustness : mathematical foundations Finding new cancer targets