Volume 22 Supplement 4

Accelerating Bioinformatics Research with ICIBM 2020 (part two)

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. Supplement Editors were not involved in the peer review of any article that they co-authored. The Supplement Editors declare that they have no other competing interests.

Virtual9-10 August 2020

Conference website

Edited by Yan Guo, Li Shen, Xinghua Shi, Kai Wang and Zhongming Zhao.

TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery

Gene co-expression networks are widely studied in the biomedical field, with algorithms such as WGCNA and lmQCM having been developed to detect co-expressed modules. However, these algorithms have limitations ...

Authors: Yusong Liu, Xiufen Ye, Christina Y. Yu, Wei Shao, Jie Hou, Weixing Feng, Jie Zhang and Kun Huang

Citation: BMC Bioinformatics 2021 22(Suppl 4):111

Content type: Methodology Published on: 25 October 2021
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Deep learning for cancer type classification and driver gene identification

Genetic information is becoming more readily available and is increasingly being used to predict patient cancer types as well as their subtypes. Most classification methods thus far utilize somatic mutations a...

Authors: Zexian Zeng, Chengsheng Mao, Andy Vo, Xiaoyu Li, Janna Ore Nugent, Seema A. Khan, Susan E. Clare and Yuan Luo

Citation: BMC Bioinformatics 2021 22(Suppl 4):491

Content type: Research Published on: 25 October 2021
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Accelerating Bioinformatics Research with ICIBM 2020 (part two)

Research

TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery

Deep learning for cancer type classification and driver gene identification

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