A method for visualization of "omic" datasets for sphingolipid metabolism to predict potentially interesting differences

Journal of Lipid Research

Volumn 52, Issue 6, 2011, Pages 1073-1083

  Momin, Amin A ^a   Park, Hyejung ^a   Portz, Brent J ^a   Haynes, Christopher A ^a   Shaner, Rebecca L ^a   Kelly, Samuel L ^a   Jordan, I King ^a   Merrill Jr , Alfred H ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Cancer; Lipidomics; Pathway visualization; Transcriptomics

Indexed keywords

SPHINGOLIPID;

ARTICLE; BIOTECHNOLOGY; BREAST CANCER; CANCER CELL; CONTROLLED STUDY; GENE EXPRESSION; GENERAL ASPECTS OF DISEASE; GENETIC DATABASE; HUMAN; HUMAN CELL; LIPID COMPOSITION; LIPID METABOLISM; LIPIDOMICS; METABOLITE; PREDICTION; PRIORITY JOURNAL; SPHINGOLIPIDOMICS; TRANSCRIPTOMICS; WEB BROWSER;

ADENOCARCINOMA, PAPILLARY; ALGORITHMS; BREAST NEOPLASMS; CARCINOMA, DUCTAL; CELL LINE, TUMOR; DATABASES, GENETIC; FEMALE; GENE EXPRESSION PROFILING; HUMANS; LIPID METABOLISM; MASS SPECTROMETRY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROTEOMICS; RNA, MESSENGER; SPHINGOLIPIDS; TUMOR MARKERS, BIOLOGICAL;

EID: 79956031443     PISSN: 00222275     EISSN: 15397262     Source Type: Journal    
DOI: 10.1194/jlr.M010454     Document Type: Article

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