Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Preprocessing implementation for microarray (PRIM): an efficient method for processing cDNA microarray data
Autore:
Kadota, K; Miki, R; Bono, H; Shimizu, K; Okazaki, Y; Hayashizaki, Y;
Indirizzi:
RIKEN Yokahama Inst, RIKEN Genom Sci Ctr, Lab Genome Explorat Res Grp, Tsurumi Ku, Yokohama, Kanagawa 2300045, Japan RIKEN Yokahama Inst Yokohama Kanagawa Japan 2300045 nagawa 2300045, Japan Univ Tokyo, Dept Biotechnol, Tokyo 1138657, Japan Univ Tokyo Tokyo Japan1138657 yo, Dept Biotechnol, Tokyo 1138657, Japan Japan Sci & Technol Corp, Core Res Evolut Sci & Technol, Tsukuba, Ibaraki 3050074, Japan Japan Sci & Technol Corp Tsukuba Ibaraki Japan 3050074 aki 3050074, Japan Univ Tsukuba, Cooperat Grad Sch Med, Tsukuba, Ibaraki 3058575, Japan Univ Tsukuba Tsukuba Ibaraki Japan 3058575 sukuba, Ibaraki 3058575, Japan
Titolo Testata:
PHYSIOLOGICAL GENOMICS
fascicolo: 3, volume: 4, anno: 2001,
pagine: 183 - 188
SICI:
1094-8341(20010119)4:3<183:PIFM(A>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
EXPRESSION PATTERNS; DNA MICROARRAY;
Keywords:
expression profiling; data processing; cluster analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
10
Recensione:
Indirizzi per estratti:
Indirizzo: Okazaki, Y RIKEN Yokahama Inst, RIKEN Genom Sci Ctr, Lab Genome Explorat Res Grp, Tsurumi Ku, 1-7-22 Suehiro Cho, Yokohama, Kanagawa 2300045, Japan RIKEN Yokahama Inst 1-7-22 Suehiro Cho Yokohama Kanagawa Japan 2300045
Citazione:
K. Kadota et al., "Preprocessing implementation for microarray (PRIM): an efficient method for processing cDNA microarray data", PHYSIOL GEN, 4(3), 2001, pp. 183-188

Abstract

cDNA microarray technology is useful for systematically analyzing the expression profiles of thousands of genes at once. Although many useful resultsinferred by using this technology and a hierarchical clustering method forstatistical analysis have been confirmed using other methods, there are still questions about the reproducibility of the data. We have therefore developed a data processing method that very efficiently extracts reproducible data from the result of duplicate experiments. It is designed to automatically filter the raw results obtained from cDNA microarray image-analysis software. We optimize the threshold value for filtering the data by using the product of N and R, where N is the ratio of the number of spots that passedthe filtering vs. the total number of spots, and R is the correlation coefficient for results obtained in the duplicate experiments. Using this method to process mouse tissue expression profile data that contain 1,881,600 points of analysis, we obtained clustered results more reasonable than those obtained using previously reported filtering methods.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 04:46:41