The Editors of BMC Bioinformatics and BMC Medical Informatics and Decision Making are pleased to invite submissions to our Big Data and Machine Learning in Bioinformatics and Medical Informatics cross-journal collection, guest edited by Frank Eisenhanber, Somali Chaterji, Khanh N.Q Le and Placide Poba-Nzaou.
Collection open to submissions
Editor's Pick
Articles
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Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods
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SVAT: Secure outsourcing of variant annotation and genotype aggregation
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Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study
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Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing
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QMachine: commodity supercomputing in web browsers
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WGCNA: an R package for weighted correlation network analysis
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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
The Related Article to this article has been published in Nature Protocols 2013 8:nprot.2013.084
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Statistical analysis of real-time PCR data
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Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction
Aims and scope
BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.
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Annual Journal Metrics
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Citation Impact
3.328 - 2-year Impact Factor (2021)
4.341 - 5-year Impact Factor (2021)
1.105 - SNIP (Source Normalized Impact per Paper)
1.246 - SJR (SCImago Journal Rank)Speed
15 days to first decision for all manuscripts (Median)
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6,337,109 Downloads (2021)
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