Sensitivity analysis of gene ranking methods in phenotype prediction

Journal of Biomedical Informatics

Volumn 64, Issue , 2016, Pages 255-264

  deAndrés Galiana, Enrique J ^a   Fernández Martínez, Juan L ^a   Sonis, Stephen T ^b  

^a UNIVERSITY OF OVIEDO   (Spain)

^b LLC   (United States)

Author keywords

Cancer genomics; Gene expression; Machine learning; Noise analysis

Indexed keywords

ALGORITHM; AMYOTROPHIC LATERAL SCLEROSIS; ANALYTICAL PARAMETERS; CALCULATION; CHRONIC LYMPHATIC LEUKEMIA; CONTROLLED STUDY; ENTROPY; FISHER RATIO; GENE EXPRESSION; GENE RANKING METHOD; GENETIC PROCEDURES; HUMAN; INCLUSION BODY MYOSITIS; MATHEMATICAL COMPUTING; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; MICROARRAY ANALYSIS; NORMAL DISTRIBUTION; NOTE; PHENOTYPE; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SENSITIVITY ANALYSIS; SIGNAL TRANSDUCTION; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; GENOTYPE; NEOPLASM; SOFTWARE;

ARTIFICIAL INTELLIGENCE; GENE EXPRESSION PROFILING; GENETIC TECHNIQUES; GENOTYPE; HUMANS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PHENOTYPE; SOFTWARE;

EID: 84995705666     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.10.012     Document Type: Note

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