Correction: Dynamic Maternal Gradients Control Timing and Shift-Rates for Drosophila Gap Gene Expression. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005285.].
PLOS Computational Biology Staff
doaj +1 more source
Correction: Transcriptional Dynamics Reveal Critical Roles for Non-coding RNAs in the Immediate-Early Response. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1004217.].
PLOS Computational Biology Staff
doaj +1 more source
Information Theory in Computational Biology: Where We Stand Today
Entropy, 2020 “A Mathematical Theory of Communication” was published in 1948 by Claude Shannon to address the problems in the field of data compression and communication over (noisy) communication channels.
Pritam Chanda +5 more
semanticscholar +1 more source
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005212.].
PLOS Computational Biology Staff
doaj +1 more source
Correction: Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators. [PDF]
PLoS Computational Biology, 2017 [This corrects the article DOI: 10.1371/journal.pcbi.1005755.].
PLOS Computational Biology Staff
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Ten quick tips for machine learning in computational biology
BioData Mining, 2017 Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experience to run a data mining project effectively,
D. Chicco
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Computational Biology as a Compelling Pedagogical Tool in Computer Science Education
The Journal of Computational Science Education, 2020 High-performance computing (HPC), and parallel and distributed computing (PDC) are widely discussed topics in computer science (CS) and computer engineering (CE) education. In the past decade, high-performance computing has also contributed significantly
Vijayalakshmi Saravanan +2 more
semanticscholar +1 more source
Correction: Bayesian inference and comparison of stochastic transcription elongation models.
PLoS Computational Biology, 2021 [This corrects the article DOI: 10.1371/journal.pcbi.1006717.].
PLOS Computational Biology Staff
doaj +1 more source
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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A New Mixed Fractional Derivative with Applications in Computational Biology
De ComputisThis study develops a new definition of a fractional derivative that mixes the definitions of fractional derivatives with singular and non-singular kernels.
K. Hattaf
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