Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)

Xi Guang Wei; Ho Chun Wu; Shing Chow Chan

doi:10.1109/ICDSP.2016.7868571

Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)

Xi Guang Wei
, Ho Chun Wu
, Shing Chow Chan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-The-Art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016
Pages	322-326
Number of pages	5
ISBN (Electronic)	9781509041657
DOIs	https://doi.org/10.1109/ICDSP.2016.7868571
Publication status	Published - 2 Jul 2016
Externally published	Yes
Event	2016 IEEE International Conference on Digital Signal Processing, DSP 2016 - Beijing, China Duration: 16 Oct 2016 → 18 Oct 2016

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	0
ISSN (Electronic)	2165-3577

Conference

Conference	2016 IEEE International Conference on Digital Signal Processing, DSP 2016
Country/Territory	China
City	Beijing
Period	16/10/16 → 18/10/16

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Diffused Large B cell Lymphoma (DLBCL)
Marker gene identification
cancer
large-scale
microarray

Access to Document

10.1109/ICDSP.2016.7868571

Cite this

Wei, X. G., Wu, H. C., & Chan, S. C. (2016). Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL). In Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016 (pp. 322-326). Article 7868571 (International Conference on Digital Signal Processing, DSP; Vol. 0). https://doi.org/10.1109/ICDSP.2016.7868571

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title = "Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)",

abstract = "Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-The-Art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.",

keywords = "Diffused Large B cell Lymphoma (DLBCL), Marker gene identification, cancer, large-scale, microarray",

author = "Wei, \{Xi Guang\} and Wu, \{Ho Chun\} and Chan, \{Shing Chow\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Digital Signal Processing, DSP 2016 ; Conference date: 16-10-2016 Through 18-10-2016",

year = "2016",

month = jul,

day = "2",

doi = "10.1109/ICDSP.2016.7868571",

language = "English",

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pages = "322--326",

booktitle = "Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016",

}

Wei, XG, Wu, HC & Chan, SC 2016, Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL). in Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016., 7868571, International Conference on Digital Signal Processing, DSP, vol. 0, pp. 322-326, 2016 IEEE International Conference on Digital Signal Processing, DSP 2016, Beijing, China, 16/10/16. https://doi.org/10.1109/ICDSP.2016.7868571

Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL). / Wei, Xi Guang; Wu, Ho Chun; Chan, Shing Chow.
Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016. 2016. p. 322-326 7868571 (International Conference on Digital Signal Processing, DSP; Vol. 0).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)

AU - Wei, Xi Guang

AU - Wu, Ho Chun

AU - Chan, Shing Chow

PY - 2016/7/2

Y1 - 2016/7/2

N2 - Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-The-Art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.

AB - Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-The-Art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.

KW - Diffused Large B cell Lymphoma (DLBCL)

KW - Marker gene identification

KW - cancer

KW - large-scale

KW - microarray

UR - https://www.scopus.com/pages/publications/85016189044

U2 - 10.1109/ICDSP.2016.7868571

DO - 10.1109/ICDSP.2016.7868571

M3 - Conference contribution

AN - SCOPUS:85016189044

T3 - International Conference on Digital Signal Processing, DSP

SP - 322

EP - 326

BT - Proceedings - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016

T2 - 2016 IEEE International Conference on Digital Signal Processing, DSP 2016

Y2 - 16 October 2016 through 18 October 2016

ER -

Marker gene identification for gene expression analysis-Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)

Abstract

Publication series

Conference

UN SDGs

Keywords

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