BioData Mining Impact Factor in Chemistry Journals

BioData Mining in Chemistry Journals

Journal Country: United Kingdom
Journal Q tier: Q1
Publishing Firm: BioMed Central Ltd.
History: 2009-2022
Journal Homepage: Not Available
Journal ISSN: 17560381

Research Categories

Computational Mathematics (Q1); Computational Theory and Mathematics (Q1); Biochemistry (Q2); Computer Science Applications (Q2); Genetics (Q2); Molecular Biology (Q2)

Impact Score: 4.51
h-Index: 36
SJR: 0.913
Ranking: 4880

About BioData Mining

Aim and ScopeBioData Mining, is an open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.Topical areas include, but are not limited to: - Development, evaluation, and application of novel data mining and machine learning algorithms. - Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. - Open-source software for the application of data mining and machine learning algorithms.

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