A bioinformatic approach to the identification of candidate genes for the development of new cancer diagnostics

Biological Chemistry

Volumn 384, Issue 2, 2003, Pages 321-327

  Musumarra, Giuseppe ^a   Barresi, Vincenza ^a   Condorelli, Daniele F ^a   Scirè, Salvatore ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

cDNA microarray; Gene transcripts; Melanoma; Multivariate analysis; NCl database; Tumour classification

Indexed keywords

ACID PHOSPHATASE; ACID PHOSPHATASE 5; ACYLSPHINGOSINE DEACYLASE; DOPACHROME TAUTOMERASE; MELAN A; PROTEIN S100B; TUMOR MARKER; UNCLASSIFIED DRUG;

ARTICLE; BIOINFORMATICS; BREAST CELL; CANCER DIAGNOSIS; CANCER SCREENING; CELL LINE; CELL TYPE; CLASSIFICATION; COLON; CONTROLLED STUDY; DATA BASE; DISEASE MARKER; EXPRESSED SEQUENCE TAG; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC TRANSCRIPTION; HISTOLOGY; HUMAN; HUMAN CELL; INTESTINE CELL; KIDNEY CELL; LEUKEMIA CELL; LUNG ALVEOLUS CELL; MELANOMA; MELANOMA CELL; METASTASIS; MULTIVARIATE ANALYSIS; NERVE CELL; NUCLEOTIDE SEQUENCE; ONCOGENE; OVARY CELL; PRIORITY JOURNAL; PROGNOSIS;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; DISCRIMINANT ANALYSIS; FEMALE; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MALE; MELANOMA; MULTIVARIATE ANALYSIS; NATIONAL INSTITUTES OF HEALTH (U.S.); NEOPLASM METASTASIS; NEOPLASMS; TRANSCRIPTION, GENETIC; TUMOR CELLS, CULTURED; TUMOR MARKERS, BIOLOGICAL; UNITED STATES;

EID: 0037298745     PISSN: 14316730     EISSN: None     Source Type: Journal    
DOI: 10.1515/BC.2003.037     Document Type: Article

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