Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search

Hsiang Yuan Yeh; Yi Yu Liu; Cheng Yu Yeh; Von Wun Soo

doi:10.1109/BIBE.2010.64

Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search

Hsiang Yuan Yeh^*
, Yi Yu Liu
, Cheng Yu Yeh
, Von Wun Soo

^*Corresponding author for this work

National Tsing Hua University

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

Abstract

The identification of significant disease-related genes and networks is an important issue in understanding underlying mechanisms of cells. We integrate phenotype networks, protein networks and efficiently utilize gene expression data to identify human disease networks. We use prostate cancer data as our test domain. In comparison with statistical methods such as t-test and Wilcoxon test, our method identifies more prostate cancer-related genes reported in published database and literature. Interleukin-type growth factors, Ras related oncogenes and cytokine interactions canonical pathways are found to be significantly related to prostate cancer.

Original language	English
Title of host publication	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages	302-303
Number of pages	2
DOIs	https://doi.org/10.1109/BIBE.2010.64
State	Published - 2010
Externally published	Yes
Event	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States Duration: 31 05 2010 → 03 06 2010

Publication series

Name	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Conference

Conference	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
Country/Territory	United States
City	Philadelphia, PA
Period	31/05/10 → 03/06/10

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Markov blanket search
Microarry data
Phenotype networks
Prostate cancer
Protein-protein interaction networks

Access to Document

10.1109/BIBE.2010.64

Cite this

Yeh, H. Y., Liu, Y. Y., Yeh, C. Y., & Soo, V. W. (2010). Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010 (pp. 302-303). Article 5521663 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). https://doi.org/10.1109/BIBE.2010.64

Yeh, Hsiang Yuan ; Liu, Yi Yu ; Yeh, Cheng Yu et al. / Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search. 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. pp. 302-303 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).

@inproceedings{dfa6eda5f23947f497675608257d5573,

title = "Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search",

abstract = "The identification of significant disease-related genes and networks is an important issue in understanding underlying mechanisms of cells. We integrate phenotype networks, protein networks and efficiently utilize gene expression data to identify human disease networks. We use prostate cancer data as our test domain. In comparison with statistical methods such as t-test and Wilcoxon test, our method identifies more prostate cancer-related genes reported in published database and literature. Interleukin-type growth factors, Ras related oncogenes and cytokine interactions canonical pathways are found to be significantly related to prostate cancer.",

keywords = "Markov blanket search, Microarry data, Phenotype networks, Prostate cancer, Protein-protein interaction networks",

author = "Yeh, \{Hsiang Yuan\} and Liu, \{Yi Yu\} and Yeh, \{Cheng Yu\} and Soo, \{Von Wun\}",

year = "2010",

doi = "10.1109/BIBE.2010.64",

language = "英语",

isbn = "9780769540832",

series = "10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010",

pages = "302--303",

booktitle = "10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010",

note = "10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 ; Conference date: 31-05-2010 Through 03-06-2010",

}

Yeh, HY, Liu, YY, Yeh, CY & Soo, VW 2010, Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search. in 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010., 5521663, 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010, pp. 302-303, 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010, Philadelphia, PA, United States, 31/05/10. https://doi.org/10.1109/BIBE.2010.64

Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search. / Yeh, Hsiang Yuan; Liu, Yi Yu; Yeh, Cheng Yu et al.
10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. p. 302-303 5521663 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).

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

TY - GEN

T1 - Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search

AU - Yeh, Hsiang Yuan

AU - Liu, Yi Yu

AU - Yeh, Cheng Yu

AU - Soo, Von Wun

PY - 2010

Y1 - 2010

N2 - The identification of significant disease-related genes and networks is an important issue in understanding underlying mechanisms of cells. We integrate phenotype networks, protein networks and efficiently utilize gene expression data to identify human disease networks. We use prostate cancer data as our test domain. In comparison with statistical methods such as t-test and Wilcoxon test, our method identifies more prostate cancer-related genes reported in published database and literature. Interleukin-type growth factors, Ras related oncogenes and cytokine interactions canonical pathways are found to be significantly related to prostate cancer.

AB - The identification of significant disease-related genes and networks is an important issue in understanding underlying mechanisms of cells. We integrate phenotype networks, protein networks and efficiently utilize gene expression data to identify human disease networks. We use prostate cancer data as our test domain. In comparison with statistical methods such as t-test and Wilcoxon test, our method identifies more prostate cancer-related genes reported in published database and literature. Interleukin-type growth factors, Ras related oncogenes and cytokine interactions canonical pathways are found to be significantly related to prostate cancer.

KW - Markov blanket search

KW - Microarry data

KW - Phenotype networks

KW - Prostate cancer

KW - Protein-protein interaction networks

UR - https://www.scopus.com/pages/publications/77956156587

U2 - 10.1109/BIBE.2010.64

DO - 10.1109/BIBE.2010.64

M3 - 会议稿件

AN - SCOPUS:77956156587

SN - 9780769540832

T3 - 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

SP - 302

EP - 303

BT - 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

T2 - 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010

Y2 - 31 May 2010 through 3 June 2010

ER -

Yeh HY, Liu YY, Yeh CY, Soo VW. Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. p. 302-303. 5521663. (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). doi: 10.1109/BIBE.2010.64

Identifying prostate cancer-related networks from microarray data based on genotype-phenotype networks using Markov blanket search

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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