The EM Algorithm and the Rise of Computational Biology [PDF]
, 2010 In the past decade computational biology has grown from a cottage industry with a handful of researchers to an attractive interdisciplinary field, catching the attention and imagination of many quantitatively-minded scientists.
Citable Link +3 more
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Correction: lumpGEM: Systematic generation of subnetworks and elementally balanced lumped reactions for the biosynthesis of target metabolites. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005513.].
PLOS Computational Biology Staff
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A practical guide to methods controlling false discoveries in computational biology
Genome Biology, 2018 In high-throughput studies, hundreds to millions of hypotheses are typically tested. Statistical methods that control the false discovery rate (FDR) have emerged as popular and powerful tools for error rate control.
Keegan D. Korthauer +8 more
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Improving reproducibility in computational biology research
PLoS Comput. Biol., 2020 1 Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America, 2 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America, 3 Department of ...
J. Papin +4 more
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Protein Domain Boundary Predictions: A Structural Biology Perspective [PDF]
, 2009 One of the important fields to apply computational tools for domain boundaries prediction is structural biology. They can be used to design protein constructs that must be expressed in a stable and functional form and must produce diffraction-quality ...
Carugo, Oliviero (Department of Structural and Computational Biology, Centre for Molecular Biology, University of Vienna) +3 more
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Erratum: Notification of Republication: Modeling individual time courses of thrombopoiesis during multi-cyclic chemotherapy. [PDF]
PLoS Computational Biology, 2019 [This corrects the article DOI: 10.1371/journal.pcbi.1006775.].
PLOS Computational Biology Staff
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Quantum annealing versus classical machine learning applied to a simplified computational biology problem [PDF]
npj Quantum Information, 2018 Transcription factors regulate gene expression, but how these proteins recognize and specifically bind to their DNA targets is still debated. Machine learning models are effective means to reveal interaction mechanisms.
Richard Y. Li +3 more
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Towards molecular systems biology of gene transcription and regulation [PDF]
, 2010 Ten years after the determination of the RNA polymerase 11 structure, the basic mechanism of mRNA synthesis during gene transcription is known. In the future, the initiation and regulation of transcription must be studied with a combination of structural
Cramer, Patrick
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Computational Biology and Chemistry [PDF]
, 2021 The use of computers and software tools in biochemistry (biology) has led to a deep revolution in basic sciences and medicine. Bioinformatics and systems biology are the direct results of this revolution. With the involvement of computers, software tools,
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Recent Advances of Deep Learning in Bioinformatics and Computational Biology
Frontiers in Genetics, 2019 Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few ...
Binhua Tang +3 more
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