Semi-supervised class discovery using quantitative phenotypes - CVD as a case study

BMC Bioinformatics

Volumn 8, Issue SUPPL. 8, 2007, Pages

  Steinfeld, Israel ^a   Navon, Roy ^a   Ardigò, Diego ^b   Zavaroni, Ivana ^b   Yakhini, Zohar ^a  

^a Agilent Laboratories   (Israel)

^b UNIVERSITY OF PARMA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

SEMI-SUPERVISED;

ARTERY INTIMA; ARTERY MEDIA; BIOINFORMATICS; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; CAROTID ARTERY; CLINICAL ARTICLE; CONFERENCE PAPER; CONTROLLED STUDY; GENE EXPRESSION PROFILING; HUMAN; INFORMATION PROCESSING; PERIPHERAL BLOOD MONONUCLEAR CELL; PHENOTYPE; PROGNOSIS; QUANTITATIVE GENETICS; RISK FACTOR; STATISTICAL SIGNIFICANCE; STUDENT T TEST;

EID: 47649091539     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S8-S6     Document Type: Conference Paper

References (4)

1. Ben-Dor A Bruhn L Friedman N Nachman I Schummer M Yakhini Z Tissue classification with gene expression profiles J Comput Biol 2000 7 3-4 559-83 10.1089/106652700750050943 11108479
2. Ben-Dor A Friedman N Yakhini Z Overabundance Analysis and Class Discovery in Gene Expression Data Agilent Technical Report 2002 AGL-2002-4
3. von Heydebreck A Huber W Poustka A Vingron M Identifying splits with clear separation: A new class discovery method for gene expression data Bioinformatics 2001 17 S107-S114 10.1093/bioinformatics/17.1.107 11472999
4. Lorenz MW Markus HS Bots ML Rosvall M Sitzer M Prediction of clinical cardiovascular events with carotid intima-media thickness: A systematic review and meta-analysis Circulation 115 4 459-67 2007, Jan 30; Epub 2007 Jan 22 10.1161/CIRCULATIONAHA.106.628875 17242284