Literature DB >> 16779391

Predicting cancer type with dimensionality-reduced gene expression micro-array data.

Marc Santoro1, Douglas A Talbert.   

Abstract

Predictive modeling based on gene expression data is complicated by the high dimensionality (number of genes) of microarray data given the number of available samples. We investigate a method for reducing the dimensionality of the data using singular value decomposition.

Entities:  

Mesh：

Year:  2005        PMID： 16779391      PMCID： PMC1560521     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  2 in total

1.  HITON: a novel Markov Blanket algorithm for optimal variable selection.

Authors:  C F Aliferis; I Tsamardinos; A Statnikov
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.