Cluster-based characterization of gene over-expression in Cancer sets

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Mining techniques are needed to extract important information from huge high dimensional gene expression sets. Targeting unique expression behavior as over/under-expression is specific to gene expression data and is needed to explore another direction in the relation of genes to tumor conditions. This research proposes criteria for filtering over-expression genes, identifying over-expression related samples and using them to characterize over-expression behaviour in gene clusters and outliers. In return, hypothetical marker genes and functional relations can be provided, ready for approval by the aid of other datasets/results. Experiments are performed on breast cancer expression data.

Original languageEnglish
Title of host publicationProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages74-79
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo, Egypt
Duration: 29 Nov 20101 Dec 2010

Other

Other2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
CountryEgypt
CityCairo
Period29/11/101/12/10

Fingerprint

Gene expression
Genes
Tumors
Experiments

Keywords

  • Clustering
  • Gene expression
  • Outliers
  • Over-expression

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Yousri, N. (2010). Cluster-based characterization of gene over-expression in Cancer sets. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 74-79). [5687289] https://doi.org/10.1109/ISDA.2010.5687289

Cluster-based characterization of gene over-expression in Cancer sets. / Yousri, Noha.

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 74-79 5687289.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yousri, N 2010, Cluster-based characterization of gene over-expression in Cancer sets. in Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10., 5687289, pp. 74-79, 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, Cairo, Egypt, 29/11/10. https://doi.org/10.1109/ISDA.2010.5687289
Yousri N. Cluster-based characterization of gene over-expression in Cancer sets. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 74-79. 5687289 https://doi.org/10.1109/ISDA.2010.5687289
Yousri, Noha. / Cluster-based characterization of gene over-expression in Cancer sets. Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. pp. 74-79
@inproceedings{19360eaeb2514764abe9f0fca638baee,
title = "Cluster-based characterization of gene over-expression in Cancer sets",
abstract = "Mining techniques are needed to extract important information from huge high dimensional gene expression sets. Targeting unique expression behavior as over/under-expression is specific to gene expression data and is needed to explore another direction in the relation of genes to tumor conditions. This research proposes criteria for filtering over-expression genes, identifying over-expression related samples and using them to characterize over-expression behaviour in gene clusters and outliers. In return, hypothetical marker genes and functional relations can be provided, ready for approval by the aid of other datasets/results. Experiments are performed on breast cancer expression data.",
keywords = "Clustering, Gene expression, Outliers, Over-expression",
author = "Noha Yousri",
year = "2010",
month = "12",
day = "1",
doi = "10.1109/ISDA.2010.5687289",
language = "English",
isbn = "9781424481354",
pages = "74--79",
booktitle = "Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10",

}

TY - GEN

T1 - Cluster-based characterization of gene over-expression in Cancer sets

AU - Yousri, Noha

PY - 2010/12/1

Y1 - 2010/12/1

N2 - Mining techniques are needed to extract important information from huge high dimensional gene expression sets. Targeting unique expression behavior as over/under-expression is specific to gene expression data and is needed to explore another direction in the relation of genes to tumor conditions. This research proposes criteria for filtering over-expression genes, identifying over-expression related samples and using them to characterize over-expression behaviour in gene clusters and outliers. In return, hypothetical marker genes and functional relations can be provided, ready for approval by the aid of other datasets/results. Experiments are performed on breast cancer expression data.

AB - Mining techniques are needed to extract important information from huge high dimensional gene expression sets. Targeting unique expression behavior as over/under-expression is specific to gene expression data and is needed to explore another direction in the relation of genes to tumor conditions. This research proposes criteria for filtering over-expression genes, identifying over-expression related samples and using them to characterize over-expression behaviour in gene clusters and outliers. In return, hypothetical marker genes and functional relations can be provided, ready for approval by the aid of other datasets/results. Experiments are performed on breast cancer expression data.

KW - Clustering

KW - Gene expression

KW - Outliers

KW - Over-expression

UR - http://www.scopus.com/inward/record.url?scp=79851500467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79851500467&partnerID=8YFLogxK

U2 - 10.1109/ISDA.2010.5687289

DO - 10.1109/ISDA.2010.5687289

M3 - Conference contribution

AN - SCOPUS:79851500467

SN - 9781424481354

SP - 74

EP - 79

BT - Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

ER -