Evidence map›Paper›PMID 42792861›Full record

ArticleBiomedicines2026

CDELDA: A Content-Based Dual-Encoder for Cold-Start lncRNA-Disease Association Prediction.

Sanguk Kim, Taehyeon Yun, Jihwan Ha

Abstract read
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

3 authors.

Sanguk KimDepartment of Data Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0009-0007-3765-2212
Taehyeon YunDepartment of Data Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0009-0009-3548-7430
Jihwan HaMajor of Big Data Convergence, Division of Data Information Science, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0002-6086-5693

Funding

Ministry of Science and ICT RS-2023-00242528Ministry of Science and ICT RS-2026-25470406
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

benchmarkingcold-start predictiondeep learningdual-encoderinductive evaluationlncRNA–disease associationlong non-coding RNArepresentation learning

Identifiers

PMID42792861
PMCPMC13604804

What OpenQuestion holds

Textmetadata
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.