Literature DB >> 14642749

Epidemiology, cancer genetics and microarrays: making correct inferences, using appropriate designs.

John D Potter1.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14642749     DOI: 10.1016/j.tig.2003.10.005

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


× No keyword cloud information.
  5 in total

Review 1.  Genetic and epigenetic biomarkers in cancer : improving diagnosis, risk assessment, and disease stratification.

Authors:  Mukesh Verma; Daniela Seminara; Fernando J Arena; Christy John; Kumiko Iwamoto; Virginia Hartmuller
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

2.  Towards a more functional concept of causality in cancer research.

Authors:  Eiliv Lund; Vanessa Dumeaux
Journal:  Int J Mol Epidemiol Genet       Date:  2010-03-15

Review 3.  Cancer in Jews: introduction and overview.

Authors:  Henry T Lynch; Wendy S Rubinstein; Gershon Y Locker
Journal:  Fam Cancer       Date:  2004       Impact factor: 2.375

4.  Pomelo II: finding differentially expressed genes.

Authors:  Edward R Morrissey; Ramón Diaz-Uriarte
Journal:  Nucleic Acids Res       Date:  2009-05-12       Impact factor: 16.971

5.  Asterias: integrated analysis of expression and aCGH data using an open-source, web-based, parallelized software suite.

Authors:  Ramón Díaz-Uriarte; Andreu Alibés; Edward R Morrissey; Andrés Cañada; Oscar M Rueda; Mariana L Neves
Journal:  Nucleic Acids Res       Date:  2007-05-08       Impact factor: 16.971

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.