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BioData Mining


BioData Mining is an open access, open peer-reviewed 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.

Journal Home:  Journal Homepage
Editor-in-Chief:  Dr Jason Moore,Dr Marylyn Ritchie

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. Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies.

Print ISSN:

Print ISSN:  1756-0381

Electronic ISSN:  

Abstracting and Indexing:  Scopus Science Citation Index Expanded
Imapct Factor 2020:  2.522
Subject Area and Category:  Biochemistry, Genetics and Molecular Biology,Biotechnology,Computer Science ,Computer Science Applications,Engineering ,Biomedical Engineering
Publication Frequency:  
H Index:  30
Best Quartile:


Q2:  Molecular Biology



Journal Home:  Journal Homepage
Cite Score:  6.7
SNIP:  1.458
Journal Rank(SJR):  1.009
Latest Articles:  

Latest Articles in BioData Mining

Guidelines for Authors:

BioData Mining Author Guidelines

Publisher & Country:

Publisher:  BioMed Central Ltd.

Country:  United Kingdom