Evidence map›Paper›PMID 42510856›Full record

ArticleGenes2026

A Neural-Network-Free Calibration Matches or Beats Deep Single-Cell Perturbation Response Models Across Four Datasets.

Bingchi Sun, Haibin Zheng, Jinyin Chen, Jingjing Jin

Abstract read
In one paragraph

Article in Genes, 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

4 authors.

Bingchi SunZhejiang University of Technology, Hangzhou 310023, China.
Haibin ZhengZhejiang University of Technology, Hangzhou 310023, China.ORCID 0000-0002-8997-5343
Jinyin ChenZhejiang University of Technology, Hangzhou 310023, China.
Jingjing JinKey Laboratory of Beijing Life Science Academy, Beijing 102206, China.

Funding

Beijing Life Science Academy 2024200CD0210Key Laboratory of Data Protection and Intelligent Management, Ministry of Education, Sichuan University SCUSAKFKT202402ZKey Laboratory of the Fifth Research Institute of Electronics, Ministry of Industry and Information Technology HK00202503455National College Students' Innovation and Entrepreneurship Training ProgramNational Natural Science Foundation of China 62072406National Natural Science Foundation of China 62406286Zhejiang Provincial Natural Science Foundation LD22F020002Zhejiang Provincial Natural Science Foundation LDQ23F020001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Neural Networks, ComputerSingle-Cell AnalysisAlgorithmsAnimalsCalibrationHumansaffine moment matchingbenchmarkingdistribution calibrationleave-one-out generalisationperturbation response predictionsingle-cell RNA-seq

Identifiers

PMID42510856
PMCPMC13409800

What OpenQuestion 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 OpenQuestion graph.