Emerging Trends in Computational Biology and Bioinformatics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 31 July 2025 | Viewed by 446
Special Issue Editor
Special Issue Information
Dear Colleagues,
In the era of massively parallel sequencing, single-cell sequencing, spatial transcriptome, as well as multi-omics data integration, there are a myriad of opportunities in computational biology and bioinformatics, although computational challenges still exist. In this Special Issue, we invite you to contribute your latest work on one or several of the following computational/mathematical approaches:
- Graph Theory;
- Statistical Learning;
- Bayesian Inference ;
- Optimization Parameter Estimate;
- Deep learning.
Your work may address one or several of the following areas:
- Single-cell DNA/RNA sequencing analysis;
- Spatial transcriptome;
- Multi-omics;
- Mutations calling on single-cell DNA/RNA sequencing data and sc-ATAC data;
- Personalized medicine.
In conclusion, any contribution that utilizes mathematical and computational approaches to gain a more comprehensive understanding of the biological systems or proposes a new computational tool to manipulate the biological data produced by the new technologies will be appreciated. We look forward to seeing your proposed work.
Dr. Xian F. Mallory
Guest Editor
Liting Zhang
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- graph theory
- statistical learning
- Bayesian inference
- optimization parameter estimate
- deep learning
- single-cell sequencing
- spatial transcriptome
- multi-omics
- personalized medicine
- mutation calling
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