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Complexity, Information and Quantitative Modelling in Single Cell Multiomics

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 144

Special Issue Editor


E-Mail Website
Guest Editor
Radboud Institute for Molecular Life Science, Radboud University, 6525 XZ Nijmegen, The Netherlands
Interests: computational biology; cell-cell communication; gene regulatory networks; cell fate; biophysics

Special Issue Information

Dear Colleagues,

Single-cell omics technologies are now ubiquitous and provide high resolution in time and space on complex biological processes at the level of individual cells. Yet, this poses novel theoretical and computational challenges in translating high-throughput multimodal data into intelligible biological mechanisms and quantitative, falsifiable predictions. In this Special Issue, we encourage the submission of novel theoretical and computational approaches to advance the interpretability and model-generating potential of single-cell data. The proposed approaches can focus on any biological process (i.e., transcription, gene regulation, cell–cell interactions, cell lineage, etc.) and can be based on any modeling framework (i.e., information theory, stochastic modeling, machine learning, etc.) as long as the connection with single-cell methodologies is clear and justified. Examples of topics include the following:

  • Theoretical and computational advancements to improve the interpretability and model generation from single-cell omics and/or multiomics data.
  • Implementation of methodologies from various disciplines including but not limited to mathematics, statistics, machine learning, and biophysics to answer specific questions in single-cell biology.
  • Application of new or existing modeling strategies to connect two or more single-cell data modalities (such as, but not limited to genomics, epigenomics, transcriptomics, proteomics, or metabolomics) and provide new biological insight.
  • Finally, we allow the submission of review articles. The review article, however, should provide a perspective on current challenges and propose novel directions for the field, rather than solely summarize the literature.

Dr. Federico Bocci
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • single-cell multi-omics
  • theoretical modeling
  • computational biology
  • cell modeling
  • information theory
  • machine learning

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Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Tentative title: Integrating Dynamical Systems Theory with Spatiotemporal scRNA-seq Analysis
Authors: Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou
Affiliation: Peking University, Beijing, China
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