Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Gyorffy, Balázs ^a   Surowiak, Pawel ^b   Budczies, Jan ^c   Lánczky, András ^a  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

^b WROCLAW MEDICAL UNIVERSITY   (Poland)

^c CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLIN DEPENDENT KINASE INHIBITOR 2A; OSTEOPONTIN; RAD51 PROTEIN; TRANSCRIPTION FACTOR EZH2; TUMOR MARKER;

ADAM28 GENE; ANXA3 GENE; ARTICLE; BIOINFORMATICS; CADM1 GENE; CANCER PROGNOSIS; CANCER SURVIVAL; CCNE GENE; CDK1 GENE; CDKN2A GENE; COMPUTER MODEL; DATA ANALYSIS SOFTWARE; ERCC1 GENE; EZH2 GENE; GENE; GENE EXPRESSION REGULATION; GENETIC ASSOCIATION; HUMAN; LUNG NON SMALL CELL CANCER; MICROARRAY ANALYSIS; NUCLEOTIDE SEQUENCE; ONLINE ANALYSIS; OPN GENE; OVERALL SURVIVAL; RAD51 GENE; TRANSCRIPTOMICS; VALIDATION PROCESS;

BIOLOGICAL MARKERS; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; KAPLAN-MEIER ESTIMATE; LUNG NEOPLASMS; MULTIVARIATE ANALYSIS; PROPORTIONAL HAZARDS MODELS; SOFTWARE; TRANSCRIPTOME;

EID: 84893181929     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0082241     Document Type: Article

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