Framework for identifying common aberrations in DNA copy number data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4453 LNBI, Issue , 2007, Pages 122-136

  Ben Dor, Amir ^a   Lipson, Doron ^b   Tsalenko, Anya ^a   Reimers, Mark ^c   Baumbusch, Lars O ^d   Barrett, Michael T ^a,e   Weinstein, John N ^c   Børresen Dale, Anne Lise ^d   Yakhini, Zohar ^a,b  

^a AGILENT LABORATORIES   (United States)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^c NATIONAL CANCER INSTITUTE   (United States)

^d OSLO UNIVERSITY HOSPITAL   (Norway)

^e TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

Author keywords

Breast cancer; Cancer; CGH; Common aberrations; Microarray data analysis; NCI 60

Indexed keywords

ABERRATIONS; ALGORITHMS; COMPUTATIONAL METHODS; GENES; MICROARRAYS; STATISTICAL METHODS; TUMORS;

BREAST CANCER; CARCINOGENESIS; COMMON ABERRATIONS; MICROARRAY DATA ANALYSIS; RAMIFICATIONS;

DNA;

EID: 34547408267     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71681-5_9     Document Type: Conference Paper

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