Special Issue "Data-Intensive Bioinformatic Approaches in Human Disease"

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 226

Special Issue Editor

Guangzhou Laboratory, Guangzhou, China
Interests: machine learning; bioinformatics; network biology; computational biology; graph theory

Special Issue Information

Dear Colleagues,

The ever-increasing amounts of omics datasets combined with other high-quality clinical and imaging datasets are leading the study of human diseases into an era of biomedical big data. Bioinformatic methods continuously evolve, and machine learning or artificial intelligence technologies are key to extracting the relevant information from such high-dimensional, multi-domain and multi-modal biomedical big data. Data-intensive bioinformatic approaches, in the principle of data-intensive scientific research, have rapid growth, which can promote a great leap forward development of biomedical research. In this Special Issue, we welcome the submission of research articles and review articles on topics related to the data-intensive bioinformatic approaches in human diseases, describing novel models, algorithms, tools, software and pipelines in all fields of human diseases. Research topics among the following themes are especially welcomed:

  1. Multi-omics analysis of human diseases, using the bulk or single-cell data of genomic, transcriptomic, epigenomic, proteomic, metabonomic or metagenomic samples.
  2. Multi-modal analysis of human diseases, integrating the molecular, voice, text, image, behavior, and phenotyping-feature data from sick or healthy individuals.
  3. Temporal-spatial analysis of omics data from disease cohorts or animal models horizontally and longitudinally.
  4. The identification of disease drivers, disease dynamic network biomarkers, disease treatment targets for human diseases.
  5. The construction of disease predictive model, disease stratification model, rare disease model for precision medicine.
  6. Information technologies such as cloud computing, blockchain and artificial intelligence, supporting biomedical big data analysis of human diseases

Dr. Tao Zeng
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. Genes 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.


  • data-intensive
  • bioinformatics
  • precision medicine
  • multi-omics analysis
  • multi-modal analysis
  • temporal-spatial analysis
  • machine learning
  • artificial intelligence

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop