Literature DB >> 17057752

Data-driven modelling of signal-transduction networks.

Kevin A Janes1, Michael B Yaffe.   

Abstract

New technologies are permitting large-scale quantitative studies of signal-transduction networks. Such data are hard to understand completely by inspection and intuition. 'Data-driven models' help users to analyse large data sets by simplifying the measurements themselves. Data-driven modelling approaches such as clustering, principal components analysis and partial least squares can derive biological insights from large-scale experiments. These models are emerging as standard tools for systems-level research in signalling networks.

Mesh：

Year:  2006        PMID： 17057752     DOI： 10.1038/nrm2041

Source DB:  PubMed          Journal:  Nat Rev Mol Cell Biol        ISSN： 1471-0072            Impact factor:   94.444


  159 in total

1.  Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations.

Authors:  Michael Dworkin; Sayak Mukherjee; Ciriyam Jayaprakash; Jayajit Das
Journal:  J R Soc Interface       Date:  2012-02-29       Impact factor: 4.118

2.  Strategies for Comparing Metabolic Profiles: Implications for the Inference of Biochemical Mechanisms from Metabolomics Data.

Authors:  Zhen Qi; Eberhard O Voit
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-07-07       Impact factor: 3.710

Review 3.  Quantitative analysis of gradient sensing: towards building predictive models of chemotaxis in cancer.

Authors:  Shannon K Hughes-Alford; Douglas A Lauffenburger
Journal:  Curr Opin Cell Biol       Date:  2012-01-26       Impact factor: 8.382

Review 4.  Translational systems approaches to the biology of inflammation and healing.

Authors:  Yoram Vodovotz; Gregory Constantine; James Faeder; Qi Mi; Jonathan Rubin; John Bartels; Joydeep Sarkar; Robert H Squires; David O Okonkwo; Jörg Gerlach; Ruben Zamora; Shirley Luckhart; Bard Ermentrout; Gary An
Journal:  Immunopharmacol Immunotoxicol       Date:  2010-06       Impact factor: 2.730

5.  Network inference in stochastic systems from neurons to currencies: Improved performance at small sample size.

Authors:  Danh-Tai Hoang; Juyong Song; Vipul Periwal; Junghyo Jo
Journal:  Phys Rev E       Date:  2019-02       Impact factor: 2.529

6.  Dendritic cell responses to surface properties of clinical titanium surfaces.

Authors:  Peng Meng Kou; Zvi Schwartz; Barbara D Boyan; Julia E Babensee
Journal:  Acta Biomater       Date:  2010-10-25       Impact factor: 8.947

7.  Removal of inflammatory ascites is associated with dynamic modification of local and systemic inflammation along with prevention of acute lung injury: in vivo and in silico studies.

Authors:  Bryanna Emr; David Sadowsky; Nabil Azhar; Louis A Gatto; Gary An; Gary F Nieman; Yoram Vodovotz
Journal:  Shock       Date:  2014-04       Impact factor: 3.454

8.  Cytokine-induced signaling networks prioritize dynamic range over signal strength.

Authors:  Kevin A Janes; H Christian Reinhardt; Michael B Yaffe
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

Review 9.  Two is better than one; toward a rational design of combinatorial therapy.

Authors:  Sheng-Hong Chen; Galit Lahav
Journal:  Curr Opin Struct Biol       Date:  2016-08-10       Impact factor: 6.809

10.  A multipathway phosphoproteomic signaling network model of idiosyncratic drug- and inflammatory cytokine-induced toxicity in human hepatocytes.

Authors:  Benjamin D Cosgrove; Leonidas G Alexopoulos; Julio Saez-Rodriguez; Linda G Griffith; Douglas A Lauffenburger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.