ArticleBioinformatics (Oxford, England)2014
StochHMM: a flexible hidden Markov model tool and C++ library.
Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Machine Boss: rapid prototyping of bioinformatic automata.Bioinformatics (Oxford, England) · 2021Article
- Topology and expressed repertoire of the Felis catus T cell receptor loci.BMC genomics · 2020Article
- Self-reported pregnancy exposures and placental DNA methylation in the MARBLES prospective autism sibling study.Environmental epigenetics · 2016Article
- A New Advanced Backcross Tomato Population Enables High Resolution Leaf QTL Mapping and Gene Identification.G3 (Bethesda, Md.) · 2016Article
- Placental methylome analysis from a prospective autism study.Molecular autism · 2016Article
- Consistency of VDJ Rearrangement and Substitution Parameters Enables Accurate B Cell Receptor Sequence Annotation.PLoS computational biology · 2016Article
- GC skew is a conserved property of unmethylated CpG island promoters across vertebrates.Nucleic acids research · 2015Article
- Genome-wide DNA hypomethylation and RNA:DNA hybrid accumulation in Aicardi-Goutières syndrome.eLife · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
unlabelledHidden Markov models (HMMs) are probabilistic models that are well-suited to solve many different classification problems in computation biology. StochHMM provides a command-line program and C++ library that can implement a traditional HMM from a simple text file. StochHMM provides researchers the flexibility to create higher-order emissions, integrate additional data sources and/or user-defined functions into multiple points within the HMM framework. Additional features include user-defined alphabets, ability to handle ambiguous characters in an emission-dependent manner, user-defined weighting of state paths and ability to tie transition probabilities to sequence. AVAILABILITY AND IMPLEMENTATION: StochHMM is implemented in C++ and is available under the MIT License. Software, source code, documentation and examples can be found at http://github.com/KorfLab/StochHMM.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.