Gene expression profiles for predicting metastasis in breast cancer: A cross-study comparison of classification methods

The Scientific World Journal

Volumn 2012, Issue , 2012, Pages

  Burton, Mark ^a,b   Thomassen, Mads ^a,b   Tan, Qihua ^a,b   Kruse, Torben A ^a,b  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b ODENSE UNIVERSITY HOSPITAL   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BREAST CANCER; CANCER PATIENT; FOLLOW UP; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC ASSOCIATION; HUMAN; MACHINE LEARNING; METASTASIS; MICROARRAY ANALYSIS; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BREAST TUMOR; COMPARATIVE STUDY; DNA MICROARRAY; FEMALE; GENETIC DATABASE; GENETICS; LYMPH NODE; METHODOLOGY; PATHOLOGY; PREDICTIVE VALUE; REPRODUCIBILITY; STATISTICS;

TRANSCRIPTOME;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DATABASES, GENETIC; FEMALE; GENE EXPRESSION PROFILING; HUMANS; LYMPH NODES; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; TRANSCRIPTOME;

EID: 84871824961     PISSN: 1537744X     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1100/2012/380495     Document Type: Article

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