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Call for Papers - Fuzzy Systems in Bioinformatics and Computational Biology

Proposals accepted until September 1, 2020

Submit Proposals here

SLAS Discovery

SLAS Technology Guest Editors Oscar Sanjuán Martínez, Ph.D., (International University of La Rioja, Spain), Giuseppe Fenza, Ph.D., (University of Salerno, Italy) and Ruben Gonzalez Crespo, Ph.D. (International University of La Rioja, Spain) invite the submission of abstracts for publication in a 2021 special issue. Abstracts will be used to select and invite papers for review and publication consideration.

Drs. Martínez, Fenza, Crespo seek high-quality, short- or full-length research reports, reviews and perspectives related to fuzzy systems in bioinformatics and computational biology. These mathematical systems take analog values as input and analyze the input values as logical entities, which take continuous values between 0 and 1. Unlike digital logic, which is discrete, fuzzy logic is continuous in nature. In other words, no logic exists to detect absolute truth and absolute false values. A fuzzy system works successfully even with noisy and distorted data. Fuzzy systems are predominantly deployed to provide precise solutions to complex problems that involve automatic decision-making capabilities. 

Bioinformatics solutions use computational algorithms to model and analyze biological processes at the molecular level, while computational biology studies biological systems experimentally using computational models. Fuzzy systems empower bioinformatics and computational biology-based applications, such as gene expression analysis, cellular reconstruction, medical image processing, protein structure analysis and medical data classification.

Though fuzzy systems provide reliable solutions to biologically-inspired problems, three complexities exist: (1) there is no systematic manner to explain the solution to a problem; (2) there are difficulties with showing and mathematically supporting proofs; and (3) use of inconsistent data leads to potentially inconsistent results.

Manuscript proposals (abstracts) are welcome from academia, industry and vendors. Areas of particular interest include, but are not limited to, fuzzy systems for the following:

  • Gene sequence and expression analysis
  • Protein structure prediction and 3D structure analysis
  • DNA and protein cell function analysis 
  • Modeling of biological networks 
  • Gene regulatory network analysis
  • Graphical modeling for biological systems
  • Cancer computational biology
  • Computational neuropsychiatry
  • Computational neuroscience
  • Computational genetics and behavioral study
  • Patient monitoring
  • Organ functionality study and analysis
  • Brain model development
  • Mathematical modeling for biological problem statements  

Submit your manuscript proposal before September 1, 2020. Proposals should include your name, contact information, affiliation, a working title and abstract (250-500 words) as an MS Word document.

Invited manuscripts will need to be completed and submitted by March 1, 2021.

All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.

Publication note: After submissions are accepted, they typically publish online ahead-of-print within 30 days and become immediately searchable and citable with a DOI.

Questions? Please e-mail cdiedrich@slas.org or call +1.630.256.7527, ext. 106.