Evidence map›Paper›PMID 40761324›Full record

ArticleBioinformatics advances2025

Wenxing Hu, Haotian Zhang, Yu H Sun, Shaolong Cao, Jake Gagnon, Yuka Moroishi, Yirui Chen, Zhengyu Ouyang, Baohong Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

9 authors.

Wenxing HuResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.
Haotian ZhangResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.
Yu H SunResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.ORCID https://orcid.org/0000-0003-0333-2898
Shaolong CaoResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.ORCID https://orcid.org/0000-0002-4443-9424
Jake GagnonResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.
Yuka MoroishiResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.
Yirui ChenResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.
Zhengyu OuyangData Science, BioInfoRx, Inc., Madison, WI 53719, United States.
Baohong ZhangResearch Department, Biogen, Inc., Cambridge, MA 02142, United States.ORCID https://orcid.org/0000-0003-4735-4212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: The rise of large-scale single-cell RNA-seq data has introduced challenges in data processing due to its slow speed. Leveraging advancements in Graphics Processing Unit (GPU) computing ecosystems, such as Availability and implementation: The

Identifiers

PMID40761324
PMCPMC12321287

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.