Statistical techniques to construct assays for identifying likely responders to a treatment under evaluation from cell line genomic data.

BMC cancer

Volumn 10, Issue , 2010, Pages 586-

  Huang, Erich P ^a   Fridlyand, Jane ^b   Lewin Koh, Nicholas ^b   Yue, Peng ^b   Shi, Xiaoyan ^b   Dornan, David ^b   Burington, Bart ^b  

^a NATIONAL CANCER INSTITUTE   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

DACETUZUMAB; MESSENGER RNA; MONOCLONAL ANTIBODY;

ARTICLE; CELL LINE; DNA MICROARRAY; DRUG SCREENING; GENOMICS; HUMAN; LYMPHOMA; METABOLISM; METHODOLOGY; PROGNOSIS; REGRESSION ANALYSIS; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; TUMOR CELL LINE;

ANTIBODIES, MONOCLONAL; CELL LINE; CELL LINE, TUMOR; DATA INTERPRETATION, STATISTICAL; DRUG SCREENING ASSAYS, ANTITUMOR; GENOMICS; HUMANS; LYMPHOMA; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; REGRESSION ANALYSIS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; RNA, MESSENGER; TREATMENT OUTCOME;

MLCS; MLOWN;

EID: 77958493113     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-10-586     Document Type: Article

References (0)