An approach for prioritizing disease-related microRNAs based on genomic data integration

Qinghua Jiang; Guohua Wang; Yadong Wang

doi:10.1109/BMEI.2010.5639313

An approach for prioritizing disease-related microRNAs based on genomic data integration

Qinghua Jiang^*
, Guohua Wang
, Yadong Wang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

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

35 Scopus citations

Abstract

The identification of disease microRNAs is vital for understanding the pathogenesis of diseases at the molecular level, and is critical for designing specific molecular tools for diagnosis, treatment and prevention. However, one major issue in microRNA studies is the lack of bioinformatics methods to accurately predict disease-related microRNAs. Herein, we proposed an approach for prioritizing disease-related microRNAs based on genomic data integration. We applied our method to colon cancer and verified the effectiveness of the method. The method described here presents a promising approach to prioritizing disease-related microRNAs, which will provide leads for further experimental investigation.

Original language	English
Title of host publication	Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages	2270-2274
Number of pages	5
DOIs	https://doi.org/10.1109/BMEI.2010.5639313
State	Published - 2010
Externally published	Yes
Event	3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China Duration: 16 Oct 2010 → 18 Oct 2010

Publication series

Name	Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Volume	6

Conference

Conference	3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
Country/Territory	China
City	Yantai
Period	16/10/10 → 18/10/10

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Data integration
Disease microRNA
Naïve bayes

Access to Document

10.1109/BMEI.2010.5639313

Cite this

Jiang, Q., Wang, G., & Wang, Y. (2010). An approach for prioritizing disease-related microRNAs based on genomic data integration. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (pp. 2270-2274). Article 5639313 (Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010; Vol. 6). https://doi.org/10.1109/BMEI.2010.5639313

@inproceedings{ad31771fd229464d99a2b24ba7e8a841,

title = "An approach for prioritizing disease-related microRNAs based on genomic data integration",

abstract = "The identification of disease microRNAs is vital for understanding the pathogenesis of diseases at the molecular level, and is critical for designing specific molecular tools for diagnosis, treatment and prevention. However, one major issue in microRNA studies is the lack of bioinformatics methods to accurately predict disease-related microRNAs. Herein, we proposed an approach for prioritizing disease-related microRNAs based on genomic data integration. We applied our method to colon cancer and verified the effectiveness of the method. The method described here presents a promising approach to prioritizing disease-related microRNAs, which will provide leads for further experimental investigation.",

keywords = "Data integration, Disease microRNA, Na{\"i}ve bayes",

author = "Qinghua Jiang and Guohua Wang and Yadong Wang",

year = "2010",

doi = "10.1109/BMEI.2010.5639313",

language = "英语",

isbn = "9781424464968",

series = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",

pages = "2270--2274",

booktitle = "Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010",

note = "3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 ; Conference date: 16-10-2010 Through 18-10-2010",

}

Jiang, Q , Wang, G & Wang, Y 2010, An approach for prioritizing disease-related microRNAs based on genomic data integration. in Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010., 5639313, Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010, vol. 6, pp. 2270-2274, 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, Yantai, China, 16/10/10. https://doi.org/10.1109/BMEI.2010.5639313

An approach for prioritizing disease-related microRNAs based on genomic data integration. / Jiang, Qinghua ; Wang, Guohua ; Wang, Yadong.
Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. 2010. p. 2270-2274 5639313 (Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010; Vol. 6).

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

TY - GEN

T1 - An approach for prioritizing disease-related microRNAs based on genomic data integration

AU - Jiang, Qinghua

AU - Wang, Guohua

AU - Wang, Yadong

PY - 2010

Y1 - 2010

N2 - The identification of disease microRNAs is vital for understanding the pathogenesis of diseases at the molecular level, and is critical for designing specific molecular tools for diagnosis, treatment and prevention. However, one major issue in microRNA studies is the lack of bioinformatics methods to accurately predict disease-related microRNAs. Herein, we proposed an approach for prioritizing disease-related microRNAs based on genomic data integration. We applied our method to colon cancer and verified the effectiveness of the method. The method described here presents a promising approach to prioritizing disease-related microRNAs, which will provide leads for further experimental investigation.

AB - The identification of disease microRNAs is vital for understanding the pathogenesis of diseases at the molecular level, and is critical for designing specific molecular tools for diagnosis, treatment and prevention. However, one major issue in microRNA studies is the lack of bioinformatics methods to accurately predict disease-related microRNAs. Herein, we proposed an approach for prioritizing disease-related microRNAs based on genomic data integration. We applied our method to colon cancer and verified the effectiveness of the method. The method described here presents a promising approach to prioritizing disease-related microRNAs, which will provide leads for further experimental investigation.

KW - Data integration

KW - Disease microRNA

KW - Naïve bayes

UR - https://www.scopus.com/pages/publications/78650651647

U2 - 10.1109/BMEI.2010.5639313

DO - 10.1109/BMEI.2010.5639313

M3 - 会议稿件

AN - SCOPUS:78650651647

SN - 9781424464968

T3 - Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010

SP - 2270

EP - 2274

BT - Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010

T2 - 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010

Y2 - 16 October 2010 through 18 October 2010

ER -

Jiang Q , Wang G , Wang Y. An approach for prioritizing disease-related microRNAs based on genomic data integration. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. 2010. p. 2270-2274. 5639313. (Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010). doi: 10.1109/BMEI.2010.5639313

An approach for prioritizing disease-related microRNAs based on genomic data integration

Abstract

Publication series

Conference

UN SDGs

Keywords

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