Biostatistics, Bioinformatics, and Data Analysis
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Entropy and Biology".
Deadline for manuscript submissions: closed (10 July 2023) | Viewed by 3663
Special Issue Editors
2. School of Interdisciplinary and Graduate Studies, University of Louisville, Louisville, KY 40292, USA
3. Biostatistics and Bioinformatics Facility, Brown Cancer Center, University of Louisville, Louisville, KY 40202, USA
4. Biostatisitcs and Informatics Facility, Center for Integrative Environmental Health Sciences, University of Louisville, Louisville, KY 40202, USA
5. Data Analysis and Sample Management Facility, the University of Louisville Super Fund Center, University of Louisville, Louisville, KY 40202, USA
6. Hepatobiology and Toxicology Center, University of Louisville, Louisville, KY 40202, USA
7. Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY 40202, USA
Interests: statistics; biostatistics; bioinformatics; clinical trials; behavioral interventions; survival analysis; sampling designs and survey
Interests: statistics; bioinformatics; computational biology; sample survey; computer application; systems biology
2. International Center for Foot and Mouth Disease, Arugul, Bhubaneswar 752050, Odisha, India
Interests: statistics; bioinformatics; computational biology; network biology; high-dimensional data analysis
Special Issue Information
Dear Colleagues,
The 21st century is popularly known as the century of data, which are generated through multidisciplinary studies. To extract valuable knowledge from such massive datasets, statistical methodology and data analytic tools have long been employed. Recently, bioinformatics and biostatistics methods and tools have been found to be incredibly helpful in analyzing high-throughput and high-dimensional data obtained from genomic studies. Genomic and clinical studies are particularly complex, characterized by the generation of huge amounts of diverse datasets. Thus, novel statistical methods and bioinformatic tools will be required to address the upcoming challenges in genomic and clinical data analysis.
Therefore, this Special Issue encourages the submission of original works that have statistical rigor in the analysis of data relating to genomics, bioinformatics, proteomics, and clinical studies. These works may also cover a wide range of data on, but not limited to, humans, plants, and other eukaryotes and prokaryotes. We welcome any original and scientific review articles relating, but not limited, to the topics described herein.
Prof. Dr. Shesh Nath Rai
Dr. Anil Rai
Dr. Samarendra Das
Guest Editors
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
- biostatistics
- bioinformatics
- high-throughput data
- high-dimensional data
- statistical models
- machine learning
- genomics
- clinical survey
- clinical data
