Gene Clustering in Microbiological and Biotechnological Research
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biochemical Engineering".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1663
Special Issue Editor
Interests: biostatistics; survival analysis; machine learning for survival data; high-dimensional data analysis; missing data analysis
Special Issue Information
Dear Colleagues,
With the advent of precision medicine, where the patient treatments are selected based on the genetic understanding of their diseases, it is important to understand the relationship between genes and their complex mechanisms. Gene pathways and gene regulatory networks describe the relationship between genes based on biological experiments, but many remain unexplored. Unlike traditional approaches which rely on a single type of omics data, mostly only gene expression, this Special Issue would like to address the ongoing challenge of identifying gene relationships using innovative microbiological and biotechnological approaches, with focus on the integration of multiple omics datasets to enhance the accuracy of gene clustering analysis. The key objectives include developing novel algorithms for integrating multiple omics data to understand the underlying biological process, presenting application in the fields of microbiology and biotechnology, and discussing the potential implications for personalized treatment strategies using an improved gene clustering algorithm. In summary, this Special Issue invites original research articles that contribute to the integrative analysis using multiple omics data for gene clustering algorithm in microbiological and biotechnological research.
Prof. Dr. Kwang Woo Ahn
Guest Editor
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Keywords
- gene pathway
- gene clustering algorithm
- integrative analysis
- ulti-omics
- precision medicine
- microbiology
- biotechnology
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