Manuscript Topics

Fast-developing single-cell sequencing technology enables us to address the biological complexity and heterogeneity at a single cell resolution, and to obtain the measurements of multiple modalities, such as RNA expression, chromatin accessibility, protein abundance, and spatial information, from the same cell. Those advances enable to comprehensively understand the whole process of how genes affect individual traits by affecting cell subtype at a single cell resolution, which is of great significance for biomedical application and precision medicine. However, those high-dimensional, heterogeneous, and sparse data also present challenges to the development of computational methods and the bioinformatics analysis for biomedical application.

Therefore, we have initiated such a special issue on the computational methods and biomedical application for single-cell omics data analysis in the hope that researchers can gather their works together for the development of bioinformatics on the era of single-cell sequencing.

Keywords
Bioinformatics, Computational Biology, Single-Cell Transcriptomics/Epigenomics/Proteomics Analysis, Spatial Transcriptomics/Epigenomics Analysis, Multi-Omics Data Integration, Disease Diagnose, Precision Medicine, Machine Learning, Deep Learning, Computational Intelligence

Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/