Extracting global structure from gene expression profiles

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Extracting global structure from gene expression profiles. / Fowlkes, C; Shan, Q; Belongie, S; Malik, J.

METHODS OF MICROARRAY DATA ANALYSIS II. red. / SM Lin; KF Johnson. Kluwer Academic Publishers Group, 2002. s. 81-90.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Fowlkes, C, Shan, Q, Belongie, S & Malik, J 2002, Extracting global structure from gene expression profiles. i SM Lin & KF Johnson (red), METHODS OF MICROARRAY DATA ANALYSIS II. Kluwer Academic Publishers Group, s. 81-90, 2nd Critical Assessment of Microarray Data Analysis (CAMDA 01), DURHAM, Ny Kaledonien, 15/10/2001. https://doi.org/10.1007/0-306-47598-7_6

APA

Fowlkes, C., Shan, Q., Belongie, S., & Malik, J. (2002). Extracting global structure from gene expression profiles. I SM. Lin, & KF. Johnson (red.), METHODS OF MICROARRAY DATA ANALYSIS II (s. 81-90). Kluwer Academic Publishers Group. https://doi.org/10.1007/0-306-47598-7_6

Vancouver

Fowlkes C, Shan Q, Belongie S, Malik J. Extracting global structure from gene expression profiles. I Lin SM, Johnson KF, red., METHODS OF MICROARRAY DATA ANALYSIS II. Kluwer Academic Publishers Group. 2002. s. 81-90 https://doi.org/10.1007/0-306-47598-7_6

Author

Fowlkes, C ; Shan, Q ; Belongie, S ; Malik, J. / Extracting global structure from gene expression profiles. METHODS OF MICROARRAY DATA ANALYSIS II. red. / SM Lin ; KF Johnson. Kluwer Academic Publishers Group, 2002. s. 81-90

Bibtex

@inproceedings{21477353255e4af3b1d9d9ba4c6f10db,
title = "Extracting global structure from gene expression profiles",
abstract = "We have developed a program, GENECUT, for analyzing datasets from gene expression profiling. GENECUT is based on a pairwise clustering method known as Normalized Cul [Shi and Malik, 1997]. GENECUT extracts global structures by progressively partitioning datasets into well-balanced groups, performing an intuitive k-way partitioning at each stage in contrast to commonly used 2-way partitioning schemes. By making use of the Nystrom approximation, it is possible to perform clustering on very large genomic datasets.",
keywords = "gene expression profiles, clustering analysis, spectral partitioning, IMAGE SEGMENTATION, NORMALIZED CUTS, PATTERNS",
author = "C Fowlkes and Q Shan and S Belongie and J Malik",
year = "2002",
doi = "10.1007/0-306-47598-7_6",
language = "English",
isbn = "1-4020-7111-6",
pages = "81--90",
editor = "SM Lin and KF Johnson",
booktitle = "METHODS OF MICROARRAY DATA ANALYSIS II",
publisher = "Kluwer Academic Publishers Group",
note = "2nd Critical Assessment of Microarray Data Analysis (CAMDA 01) ; Conference date: 15-10-2001 Through 16-10-2001",

}

RIS

TY - GEN

T1 - Extracting global structure from gene expression profiles

AU - Fowlkes, C

AU - Shan, Q

AU - Belongie, S

AU - Malik, J

PY - 2002

Y1 - 2002

N2 - We have developed a program, GENECUT, for analyzing datasets from gene expression profiling. GENECUT is based on a pairwise clustering method known as Normalized Cul [Shi and Malik, 1997]. GENECUT extracts global structures by progressively partitioning datasets into well-balanced groups, performing an intuitive k-way partitioning at each stage in contrast to commonly used 2-way partitioning schemes. By making use of the Nystrom approximation, it is possible to perform clustering on very large genomic datasets.

AB - We have developed a program, GENECUT, for analyzing datasets from gene expression profiling. GENECUT is based on a pairwise clustering method known as Normalized Cul [Shi and Malik, 1997]. GENECUT extracts global structures by progressively partitioning datasets into well-balanced groups, performing an intuitive k-way partitioning at each stage in contrast to commonly used 2-way partitioning schemes. By making use of the Nystrom approximation, it is possible to perform clustering on very large genomic datasets.

KW - gene expression profiles

KW - clustering analysis

KW - spectral partitioning

KW - IMAGE SEGMENTATION

KW - NORMALIZED CUTS

KW - PATTERNS

U2 - 10.1007/0-306-47598-7_6

DO - 10.1007/0-306-47598-7_6

M3 - Article in proceedings

SN - 1-4020-7111-6

SP - 81

EP - 90

BT - METHODS OF MICROARRAY DATA ANALYSIS II

A2 - Lin, SM

A2 - Johnson, KF

PB - Kluwer Academic Publishers Group

T2 - 2nd Critical Assessment of Microarray Data Analysis (CAMDA 01)

Y2 - 15 October 2001 through 16 October 2001

ER -

ID: 302160853