SCOPUS 정보 검색 플랫폼

Volumn 22, Issue 13, 2006, Pages 1662-1664

Modified signal-to-noise: A new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method

(2) Takahashi, Hiro a Honda, Hiroyuki a

a NAGOYA UNIVERSITY (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; BREAST CANCER; CANCER DIAGNOSIS; CANCER GENETICS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; DNA MICROARRAY; INFORMATION PROCESSING; LEUKEMIA; LYMPHOMA; MARKER GENE; METHODOLOGY; PREDICTION; PRIORITY JOURNAL; RANDOMIZATION; REPRODUCIBILITY; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STUDENT T TEST; THEORY;

EID: 33745603748 PISSN: 13674803 EISSN: 13674811 Source Type: Journal
DOI: 10.1093/bioinformatics/btl156 Document Type: Article

Times cited : (7)

References (9)

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2
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- Pomeroy, S.L.¹

5
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- Diffuse large B-cell lymphoma outcome prediction by gene- expression profiling and supervised machine learning
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- Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.