The International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019): computational methods and applications in medical genomics

被引：1

作者：

Zhang, Chi ^{[1
]}

Mathe, Ewy ^{[2
]}

Ning, Xia ^{[2
]}

Zhao, Zhongming ^{[3
,4
]}

Wang, Kai ^{[5
]}

Li, Lang ^{[2
]}

Guo, Yan ^{[6
]}

机构：

[1] Indiana Univ, Sch Med, Dept Med & Mol Genet, Indianapolis, IN 46202 USA

[2] Ohio State Univ, Dept Biomed Informat, Columbus, OH 43210 USA

[3] Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, Ctr Precis Hlth, Houston, TX 77030 USA

[4] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth, Human Genet Ctr, Houston, TX 77030 USA

[5] Childrens Hosp Philadelphia, Raymond G Perelman Ctr Cellular & Mol Therapeut, Philadelphia, PA 19104 USA

[6] Univ New Mexico, Dept Internal Med, Comprehens Canc Ctr, Albuquerque, NM 87131 USA

来源：

BMC MEDICAL GENOMICS | 2020年 / 13卷 / Suppl 5期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1186/s12920-020-0678-1

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

In this editorial, we briefly summarized the International Conference on Intelligent Biology and Medicine 2019 (ICIBM 2019) that was held on June 9-11, 2019 at Columbus, Ohio, USA. We further introduced the 19 research articles included in this supplement issue, covering four major areas, namely computational method development, genomics analysis, network-based analysis and biomarker prediction. The selected papers perform cutting edge computational research applied to a broad range of human diseases such as cancer, neural degenerative and chronic inflammatory disease. They also proposed solutions for fundamental medical genomics problems range from basic data processing and quality control to functional interpretation, biomarker and drug prediction, and database releasing.

引用

页数：5

共 20 条

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Adnan, Nahim ;

Liu, Zhijie ;

Huang, Tim H. M. ;

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BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[2] Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets [J].

Cai, Xiaoyu ;

Chang, Lo-Bin ;

Potter, Jordan ;

Song, Chi .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[3] Highly robust model of transcription regulator activity predicts breast cancer overall survival [J].

Dong, Chuanpeng ;

Liu, Jiannan ;

Chen, Steven X. ;

Dong, Tianhan ;

Jiang, Guanglong ;

Wang, Yue ;

Wu, Huanmei ;

Reiter, Jill L. ;

Liu, Yunlong .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[4] Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations [J].

Huang, Zhi ;

Johnson, Travis S. ;

Han, Zhi ;

Helm, Bryan ;

Cao, Sha ;

Zhang, Chi ;

Salama, Paul ;

Rizkalla, Maher ;

Yu, Christina Y. ;

Cheng, Jun ;

Xiang, Shunian ;

Zhan, Xiaohui ;

Zhang, Jie ;

Huang, Kun .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[5] Acute Sprint Interval Exercise Increases Both Cognitive Functions and Peripheral Neurotrophic Factors in Humans: The Possible Involvement of Lactate [J].

Kujach, Sylwester ;

Olek, Robert Antoni ;

Byun, Kyeongho ;

Suwabe, Kazuya ;

Sitek, Emilia J. ;

Ziemann, Ewa ;

Laskowski, Radoslaw ;

Soya, Hideaki .

FRONTIERS IN NEUROSCIENCE, 2020, 13

[6] Prediction of circRNA-disease associations based on inductive matrix completion [J].

Li, Menglu ;

Liu, Mengya ;

Bin, Yannan ;

Xia, Junfeng .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[7] SCNrank: spectral clustering for network-based ranking to reveal potential drug targets and its application in pancreatic ductal adenocarcinoma [J].

Liu, Enze ;

Zhang, Zhuang Zhuang ;

Cheng, Xiaolin ;

Liu, Xiaoqi ;

Cheng, Lijun .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[8]

Liu J, 2020, BMC MED GENOMICS

[9] Dense module searching for gene networks associated with multiple sclerosis [J].

Manuel, Astrid M. ;

Dai, Yulin ;

Freeman, Leorah A. ;

Jia, Peilin ;

Zhao, Zhongming .

BMC MEDICAL GENOMICS, 2020, 13 (Suppl 5)

[10]

Mathe E, 2020, BMC MED GENOMICS S5, V13, DOI [10.1186/s12920-020-0678-1, DOI 10.1186/S12920-020-0678-1]

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