Single-cell technologies Guest edited by David Casero and
Baohua Wang
Big Data and Machine Learning in Bioinformatics and Medical Informatics Guest edited by Frank Eisenhanber, Somali Chaterji, Khanh N.Q Le and Placide Poba-Nzaou.
Collections open to submissions
Editor's Pick
Articles
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pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model
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On triangle inequalities of correlation-based distances for gene expression profiles
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Deep learning model integrating positron emission tomography and clinical data for prognosis prediction in non-small cell lung cancer patients
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SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction
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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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