The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases-Reference-Cited by-同舟云学术

The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases

Published:2019-12 Issue:S24 Volume:20 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Zhao Zhongming,Dai Yulin,Zhang Chi,Mathé Ewy,Wei Lai,Wang Kai

Abstract

AbstractBetween June 9–11, 2019, the International Conference on Intelligent Biology and Medicine (ICIBM 2019) was held in Columbus, Ohio, USA. The conference included 12 scientific sessions, five tutorials or workshops, one poster session, four keynote talks and four eminent scholar talks that covered a wide range of topics in bioinformatics, medical informatics, systems biology and intelligent computing. Here, we describe 13 high quality research articles selected for publishing in BMC Bioinformatics.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-019-3240-4.pdf

Reference13 articles.

1. Ayed M, Lim H, Xie L. Biological representation of chemicals using latent target interaction profile. BMC Bioinformatics. 2019;20(s24). https://doi.org/10.1186/s12859-019-3241-3.

2. Feng X, Wang Z, Li H, Li S. MIRIA: a webserver for statistical, visual and meta-analysis of RNA editing data in mammals. BMC Bioinformatics. 2019;20(s24). https://doi.org/10.1186/s12859-019-3242-2.

3. Zhang Y, Wan C, Wang P, Chang W, Huo Y, Chen J, Ma Q, Cao S, Zhang C. M3S: A comprehensive model selection for multi-modal single-cell RNA sequencing data. BMC Bioinformatics. 2019;20(s24). https://doi.org/10.1186/s12859-019-3243-1.

4. Cui H, Hu H, Zeng J, Chen T. DeepShape: estimating isoform-level ribosome abundance and distribution with Ribo-seq data. BMC Bioinformatics. 2019;20(s24). https://doi.org/10.1186/s12859-019-3244-0.

5. Wu J, Liu Y, Chang T. SigUNet: signal peptide recognition based on semantic segmentation. BMC Bioinformatics. 2019;20(s24). https://doi.org/10.1186/s12859-019-3245-z.

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4. Correction to: The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases;BMC Bioinformatics;2020-04-16