The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disorders

OMICS A Journal of Integrative Biology

Volumn 19, Issue 4, 2015, Pages 197-208

  Higdon, Roger ^a,b,c   Earl, Rachel K ^d   Stanberry, Larissa ^a,b,c   Hudac, Caitlin M ^d   Montague, Elizabeth ^a,b,c   Stewart, Elizabeth ^a,b,c   Janko, Imre ^a,b,c   Choiniere, John ^a,c   Broomall, William ^a,b,c   Kolker, Natali ^a,b,c   Bernier, Raphael A ^d   Kolker, Eugene ^a,b,c,d,e  

^a SEATTLE CHILDREN S RESEARCH INSTITUTE   (United States)

^b SEATTLE CHILDREN S HOSPITAL   (United States)

^c The Data Enabled Life Sciences Alliance International (DELSA)   (United States)

^d UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^e NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTISM; CLINICAL STUDY; EXOME; GENE EXPRESSION; GENE MUTATION; GENOTYPE; HUMAN; MOLECULAR TYPING; OUTCOME ASSESSMENT; PHENOTYPE; PRIORITY JOURNAL; PROTEIN EXPRESSION; PSYCHOMETRY; REVIEW; AUTISM SPECTRUM DISORDER; CLASSIFICATION; CLUSTER ANALYSIS; GENETICS; GENOMICS; PERSONALIZED MEDICINE;

AUTISM SPECTRUM DISORDER; CLUSTER ANALYSIS; GENOMICS; HUMANS; MOLECULAR TYPING; PRECISION MEDICINE;

EID: 84926466810     PISSN: 15362310     EISSN: 15578100     Source Type: Journal    
DOI: 10.1089/omi.2015.0020     Document Type: Review

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