Evidence map›Paper›PMID 42511913›Full record

ArticleBiomedicines2026

Unsupervised Deep Representation Learning and Probabilistic Clustering for the Systems-Level Discovery of Germline Mutation Signatures in Pediatric Cancers.

Fahimeh Palizban, Michael E March, Xiang Wang, James Snyder, Fengxiang Wang, Frank Mentch, Yeshwanth Mahesh, Alexandria Thomas, Deborah J Watson, Huiqi Qu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Fahimeh PalizbanCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Michael E MarchCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Xiang WangCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
James SnyderCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Fengxiang WangCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Frank MentchCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-4889-6961
Yeshwanth MaheshCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Alexandria ThomasCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Deborah J WatsonCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-4329-7003
Huiqi QuCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-9317-4488
John ConnollyCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-4396-1226
Amir Hossein SaeidianCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Hassan VahidnezhadCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Joseph GlessnerCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-5131-2811
Hakon HakonarsonCenter for Applied Genomics CAG, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learninggermline mutation signaturespediatric cancerprecision oncologyretrospective cohort studysystems genomicsunsupervised machine learning

Identifiers

PMID42511913
PMCPMC13404483

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.