CSAX: Characterizing systematic anomalies in eXpression data

Journal of Computational Biology

Volumn 22, Issue 5, 2015, Pages 402-413

  Noto, Keith ^a   Majidi, Saeed ^b   Edlow, Andrea G ^c   Wick, Heather C ^b   Bianchi, Diana W ^c,d   Slonim, Donna K ^b,d  

^a Ancestrycom DNA LLC   (United States)

^b Tufts University   (United States)

^c TUFTS MEDICAL CENTER   (United States)

^d TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

anomaly detection; expression analysis; gene sets; maternal obesity; retinopathy of prematurity

Indexed keywords

TRANSCRIPTOME;

ADULT; ALGORITHM; AMNION FLUID; CHEMISTRY; FEMALE; FETUS; GENE EXPRESSION PROFILING; GENETIC DATABASE; GENETICS; HUMAN; INFORMATION PROCESSING; METABOLISM; NEWBORN; OBESITY; OXIDATIVE STRESS; PATHOLOGY; PHENOTYPE; PREGNANCY; RETINOPATHY OF PREMATURITY; SECOND TRIMESTER PREGNANCY; SOFTWARE; THROMBOCYTE; THROMBOCYTE ACTIVATION;

ADULT; ALGORITHMS; AMNIOTIC FLUID; BLOOD PLATELETS; DATABASES, GENETIC; DATASETS AS TOPIC; FEMALE; FETUS; GENE EXPRESSION PROFILING; HUMANS; INFANT, NEWBORN; OBESITY; OXIDATIVE STRESS; PHENOTYPE; PLATELET ACTIVATION; PREGNANCY; PREGNANCY TRIMESTER, SECOND; RETINOPATHY OF PREMATURITY; SOFTWARE; TRANSCRIPTOME;

EID: 84929658881     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2014.0155     Document Type: Article

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