Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue
| dc.contributor.author | Guo, Yan | |
| dc.contributor.author | Ning, Xia | |
| dc.contributor.author | Mathé, Ewy | |
| dc.contributor.author | Wang, Kai | |
| dc.contributor.author | Li, Lang | |
| dc.contributor.author | Zhang, Chi | |
| dc.contributor.author | Zhao, Zhongming | |
| dc.contributor.department | Medical and Molecular Genetics, School of Medicine | en_US |
| dc.date.accessioned | 2020-07-31T16:57:40Z | |
| dc.date.available | 2020-07-31T16:57:40Z | |
| dc.date.issued | 2020-04-17 | |
| dc.description.abstract | The International Association for Intelligent Biology and Medicine (IAIBM) is a nonprofit organization that promotes intelligent biology and medical science. It hosts an annual International Conference on Intelligent Biology and Medicine (ICIBM), which was established in 2012. The ICIBM 2019 was held from 9 to 11 June 2019 in Columbus, Ohio, USA. Out of the 105 original research manuscripts submitted to the conference, 18 were selected for publication in a Special Issue in Genes. The topics of the selected manuscripts cover a wide range of current topics in biomedical research including cancer informatics, transcriptomic, computational algorithms, visualization and tools, deep learning, and microbiome research. In this editorial, we briefly introduce each of the manuscripts and discuss their contribution to the advance of science and technology. | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.identifier.citation | Guo, Y., Ning, X., Mathé, E., Wang, K., Li, L., Zhang, C., & Zhao, Z. (2020). Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue. Genes, 11(4), 437. https://doi.org/10.3390/genes11040437 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1805/23482 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | MDPI | en_US |
| dc.relation.isversionof | 10.3390/genes11040437 | en_US |
| dc.relation.journal | Genes | en_US |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.source | PMC | en_US |
| dc.subject | Cancer informatics | en_US |
| dc.subject | Clustering algorithm | en_US |
| dc.subject | Single cell omics | en_US |
| dc.subject | Transcriptomic analysis and tools | en_US |
| dc.subject | Statistical methods | en_US |
| dc.subject | Microbiome research | en_US |
| dc.title | Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue | en_US |
| dc.type | Article | en_US |