Editorial (Thematic Issue: Machine Learning Techniques for Protein Structure, Genomics Function Analysis and Disease Prediction)

Quan      Zou

Author(s): Quan Zou

Volume 13, Issue 2, 2016

Page: [77 - 78] Pages: 2

DOI: 10.2174/157016461302160513235846

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Current Proteomics

Title:Editorial (Thematic Issue: Machine Learning Techniques for Protein Structure, Genomics Function Analysis and Disease Prediction)

Volume: 13 Issue: 2

Author(s): Quan Zou

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Cite this article as:

Zou Quan, Editorial (Thematic Issue: Machine Learning Techniques for Protein Structure, Genomics Function Analysis and Disease Prediction), Current Proteomics 2016; 13 (2) . https://dx.doi.org/10.2174/157016461302160513235846

DOI https://dx.doi.org/10.2174/157016461302160513235846	Print ISSN 1570-1646
Publisher Name Bentham Science Publisher	Online ISSN 1875-6247

About this journal

Call for Papers in Thematic Issues

Submission closes on : 13 October, 2024

Mass spectrometry data acquisition and analysis for proteomics

The Thematic Issue on "Mass spectrometry data acquisition and analysis for proteomics" aims to explore the latest advancements and challenges in the field of proteomics through the lens of mass spectrometry. Proteomics, the large-scale study of proteins and their functions, plays a crucial role in understanding various biological processes and ...read more

Guest Editor(s): Zuofei Yuan

Submission closes on : 11 June, 2024

Peptides: State-of-Art and Commercialisation Hurdles

The Editors of the Current Proteomics (CP) journal are highly privileged to welcome scientists to submit their scientific research and review articles to be considered for publication in the upcoming thematic issue. The topics should cover various aspects of peptides in regard to their synthetic methodologies, formulation approaches, pharmacological challenges, ...read more

Guest Editor(s): Othman Al Musaimi,