Found: 15
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TFscope: systematic analysis of the sequence features involved in the binding preferences of transcription factors.
- Published in:
- Genome Biology, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s13059-024-03321-8
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- Article
Adaptive approximate Bayesian computation.
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- Biometrika, 2009, v. 96, n. 4, p. 983, doi. 10.1093/biomet/asp052
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- Article
Hidden Gibbs random fields model selection using Block Likelihood Information Criterion.
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- Stat, 2016, v. 5, n. 1, p. 158, doi. 10.1002/sta4.112
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- Article
Unraveling cell type-specific and reprogrammable human replication origin signatures associated with G-quadruplex consensus motifs.
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- Nature Structural & Molecular Biology, 2012, v. 19, n. 8, p. 837, doi. 10.1038/nsmb.2339
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- Article
A young age of subspecific divergence in the desert locust inferred by ABC random forest.
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- Molecular Ecology, 2020, v. 29, n. 23, p. 4542, doi. 10.1111/mec.15663
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- Article
Relevant statistics for Bayesian model choice.
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- Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2014, v. 76, n. 5, p. 833, doi. 10.1111/rssb.12056
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- Article
Adaptive Multiple Importance Sampling.
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- Scandinavian Journal of Statistics, 2012, v. 39, n. 4, p. 798, doi. 10.1111/j.1467-9469.2011.00756.x
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- Article
Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.
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- Molecular Biology & Evolution, 2017, v. 34, n. 4, p. 980, doi. 10.1093/molbev/msx050
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- Article
Are risk-averse agents more optimistic? A Bayesian estimation approach.
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- Journal of Applied Econometrics, 2008, v. 23, n. 6, p. 843, doi. 10.1002/jae.1027
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- Article
Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest.
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- Molecular Ecology Resources, 2021, v. 21, n. 8, p. 2598, doi. 10.1111/1755-0998.13413
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- Article
Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.
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- Molecular Ecology Resources, 2012, v. 12, n. 5, p. 846, doi. 10.1111/j.1755-0998.2012.03153.x
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- Article
ABC random forests for Bayesian parameter inference.
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- Bioinformatics, 2019, v. 35, n. 10, p. 1720, doi. 10.1093/bioinformatics/bty867
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- Article
Reliable ABC model choice via random forests.
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- Bioinformatics, 2016, v. 32, n. 6, p. 859, doi. 10.1093/bioinformatics/btv684
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- Article
DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.
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- Bioinformatics, 2014, v. 30, n. 8, p. 1187, doi. 10.1093/bioinformatics/btt763
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- Article
Probing instructions for expression regulation in gene nucleotide compositions.
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- PLoS Computational Biology, 2018, v. 14, n. 1, p. 1, doi. 10.1371/journal.pcbi.1005921
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- Article