The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics

The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics

Abstract This editorial summarizes eight research articles included in this supplement issue for the 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) conference, that was held on August 9-10, 2020 (virtual conference), with a topic on data-driven analytics in biomedical...

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Main Authors: Xinghua Shi, Zhongming Zhao, Kai Wang, Li Shen
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Medical Genomics
Subjects:
Genomics
Gene regulation
Integrative analysis
Human diseases
Online Access:https://doi.org/10.1186/s12920-020-00833-7
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spelling doaj-a8f3d1205b7249fdb11e2c1bf21255252021-04-02T18:58:38ZengBMCBMC Medical Genomics1755-87942020-12-0113S111310.1186/s12920-020-00833-7The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomicsXinghua Shi0Zhongming Zhao1Kai Wang2Li Shen3Department of Computer and Information Sciences, College of Science and Technology, Temple UniversityCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of PhiladelphiaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of PennsylvaniaAbstract This editorial summarizes eight research articles included in this supplement issue for the 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) conference, that was held on August 9-10, 2020 (virtual conference), with a topic on data-driven analytics in biomedical genomics. These articles cover a wide range of topics in medical genomics that focus on integrative analysis of genomics data together with other types of data toward understanding complex human diseases, including cancer. With the growing importance of data analytics in biomedical science, we expect this collection of research articles provides scientific discussions in this direction.https://doi.org/10.1186/s12920-020-00833-7GenomicsGene regulationIntegrative analysisHuman diseases
collection DOAJ
language English
format Article
sources DOAJ
author Xinghua Shi
Zhongming Zhao
Kai Wang
Li Shen
spellingShingle Xinghua Shi
Zhongming Zhao
Kai Wang
Li Shen
The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
BMC Medical Genomics
Genomics
Gene regulation
Integrative analysis
Human diseases
author_facet Xinghua Shi
Zhongming Zhao
Kai Wang
Li Shen
author_sort Xinghua Shi
title The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
title_short The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
title_full The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
title_fullStr The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
title_full_unstemmed The International Conference on Intelligent Biology and Medicine (ICIBM) 2020: Data-driven analytics in biomedical genomics
title_sort international conference on intelligent biology and medicine (icibm) 2020: data-driven analytics in biomedical genomics
publisher BMC
series BMC Medical Genomics
issn 1755-8794
publishDate 2020-12-01
description Abstract This editorial summarizes eight research articles included in this supplement issue for the 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) conference, that was held on August 9-10, 2020 (virtual conference), with a topic on data-driven analytics in biomedical genomics. These articles cover a wide range of topics in medical genomics that focus on integrative analysis of genomics data together with other types of data toward understanding complex human diseases, including cancer. With the growing importance of data analytics in biomedical science, we expect this collection of research articles provides scientific discussions in this direction.
topic Genomics
Gene regulation
Integrative analysis
Human diseases
url https://doi.org/10.1186/s12920-020-00833-7
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