Neural network predicts sequence of TP53 gene based on DNA chip

Bioinformatics

Volumn 18, Issue 8, 2002, Pages 1133-1134

  Spicker, Jeppe S ^a   Wikman, Friedrik ^b   Lu, Ming Lan ^c   Cordon Cardo, Carlos ^c   Workman, Christopher ^a   Ørntoft, Torben F ^b   Brunak, Søren ^a   Knudsen, Steen ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b AARHUS UNIVERSITY HOSPITAL   (Denmark)

^c MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; OLIGONUCLEOTIDE; PROTEIN P53;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DNA HYBRIDIZATION; DNA MICROARRAY; FLUORESCENCE ANALYSIS; GENE SEQUENCE; GENETIC ANALYSIS; HUMAN; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; TUMOR SUPPRESSOR GENE; WILD TYPE;

EID: 0036677954     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.8.1133     Document Type: Article

References (4)

1. Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array
2. Cleaning up gene databases
3. Evaluation of the performance of a p53 sequencing microarray chip using 140 previously sequenced bladder tumor samples