Evidence map›Paper›PMID 24367158›Full record

ArticleEvolutionary bioinformatics online2013

Approximate Likelihood Estimation of Divergence Time Range Using a Coalescent-based Model.

Arindam Roychoudhury

Abstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Arindam RoychoudhuryDepartment of Biostatistics, Columbia University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an estimation of divergence time-range based on a coalescent model. This model sum the probability of coalescent trees, taking into account the effect of incomplete lineage sorting. Maximum likelihood estimate based on this model has been computed previously; however, a formula for divergence time-range estimate or confidence interval has never been presented for this model as the expression of the likelihood makes this estimation difficult to compute. Our formula for the divergence time-range estimate can be readily coded into a program. We did not use a simulation or resampling-based approach and therefore our method is fast and less computationally intensive. We demonstrate that our method is much faster and as accurate a simulation-based approach.

Indexed as

coalescentconfidence intervaldivergence timemaximum likelihoodrange

Identifiers

PMID24367158
PMCPMC3869629

What OpenQuestion holds

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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.