Evidence map›Paper›PMID 41573957›Full record

ArticlebioRxiv : the preprint server for biology2026

Neural posterior estimation for population genetics.

Jiseon Min, Yuxin Ning, Nathaniel S Pope, Franz Baumdicker, Andrew D Kern

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jiseon MinInstitute of Ecology and Evolution, University of Oregon, Eugene, OR.ORCID 0000-0002-1025-7761
Yuxin NingInstitute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Germany.
Nathaniel S PopeInstitute of Ecology and Evolution, University of Oregon, Eugene, OR.ORCID 0000-0001-8409-7812
Franz BaumdickerInstitute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Germany.ORCID 0000-0001-9106-7259
Andrew D KernInstitute of Ecology and Evolution, University of Oregon, Eugene, OR.ORCID 0000-0003-4381-4680

Funding

Deep learning for population geneticsR01HG010774 · NHGRI · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2020 to 2026
$3.2M
Scaling up computational genomics with tree sequencesR01HG012473 · NHGRI · UNIVERSITY OF OREGON · PI PETER Lochhead RALPH · 2023 to 2026
$2.3M
Computational Population GeneticsR35GM148253 · NIGMS · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2023 to 2026
$1.5M
NHGRI NIH HHS R01 HG010774NHGRI NIH HHS R01 HG012473NIGMS NIH HHS R35 GM148253
6 · The paper itself

Abstract

Simulation-based inference methods are increasingly being used in population genetics due to their flexibility and ability to be applied in settings where likelihood-based methods are intractable. Perhaps the best known such method is Approximate Bayesian Computation (ABC); however, its popularity is offset by its shortcomings which include computational expense and an unfortunate inability to

Identifiers

PMID41573957
PMCPMC12822634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.