Improving classification performance for heterogeneous cancer gene expression data

Benny Y M Fung; Vincent To Yee Ng

doi:10.1109/ITCC.2004.1286608

Improving classification performance for heterogeneous cancer gene expression data

Benny Y M Fung, Vincent To Yee Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

In our previous work, we proposed the "impact factors" (IFs) to measure the symmetric errors in different microarray experiments, and integrated the IFs to the Golub and Slonim (GS) and k-nearest neighbors (kNN) classifiers. In this paper, we perform experiments with different cancer types, which are lung adenocarcinomas and prostate cancer, to further validate the efficiency and effectiveness of the IFs integrations in terms of measurements of classification accuracy, sensitivity and specificity. For both cancer types, the IFs integrations can be successfully improved on the classification performance.

Original language	English
Title of host publication	International Conference on Information Technology
Subtitle of host publication	Coding Computing, ITCC 2004
Pages	131-132
Number of pages	2
Volume	2
DOIs	https://doi.org/10.1109/ITCC.2004.1286608
Publication status	Published - 6 Jul 2004
Event	International Conference on Information Technology: Coding Computing, ITCC 2004 - Las Vegas, NV, United States Duration: 5 Apr 2004 → 7 Apr 2004

Conference

Conference	International Conference on Information Technology: Coding Computing, ITCC 2004
Country/Territory	United States
City	Las Vegas, NV
Period	5/04/04 → 7/04/04

ASJC Scopus subject areas

General Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/ITCC.2004.1286608

Cite this

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Fung, BYM & Ng, VTY 2004, Improving classification performance for heterogeneous cancer gene expression data. in International Conference on Information Technology: Coding Computing, ITCC 2004. vol. 2, pp. 131-132, International Conference on Information Technology: Coding Computing, ITCC 2004, Las Vegas, NV, United States, 5/04/04. https://doi.org/10.1109/ITCC.2004.1286608

Improving classification performance for heterogeneous cancer gene expression data. / Fung, Benny Y M; Ng, Vincent To Yee.
International Conference on Information Technology: Coding Computing, ITCC 2004. Vol. 2 2004. p. 131-132.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Improving classification performance for heterogeneous cancer gene expression data

Abstract

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ASJC Scopus subject areas

UN SDGs

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