Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis

BMC Genomics

Volumn 14, Issue , 2013, Pages

  Zare, Habil ^a,b   Haffari, Gholamreza ^c   Gupta, Arvind ^b   Brinkman, Ryan R ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BOOTSTRAPPING; CASE STUDY; CLASSIFIER; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; DATA EXTRACTION; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; FLOW CYTOMETRY; HUMAN; INTERMETHOD COMPARISON; LASSO TECHNIQUE; LYMPHOMA; MACHINE LEARNING; MAJOR CLINICAL STUDY; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; THEORETICAL STUDY; BIOLOGY; FACTUAL DATABASE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; HUMANS; LYMPHOMA; ROC CURVE;

MLCS; MLOWN;

EID: 84881279992     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-14-S1-S14     Document Type: Article

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