Evidence map›Paper›PMID 37383947›Full record

ArticlebioRxiv : the preprint server for biology2025

CellCover Defines Marker Gene Panels Capturing Developmental Progression in Neocortical Neural Stem Cell Identity.

Lanlan Ji, An Wang, Shreyash Sonthalia, Seungmae Seo, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni, Donald Geman

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

8 authors.

Lanlan JiDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
An WangDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
Shreyash SonthaliaDepartments of Neurology and Neuroscience, Johns Hopkins University, Baltimore, MD, USA.
Seungmae SeoDepartment of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, MD, USA.ORCID 0000-0003-2175-6440
Daniel Q NaimanDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
Laurent YounesDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.
Carlo ColantuoniDepartments of Neurology and Neuroscience, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-6818-6380
Donald GemanDepartment of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA.

Funding

Illuminating Neurodevelopment through Integrated Analysis and Vizualization of Multi-Omic DataR24MH114815 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI HERTZANO, RONNA, WHITE, OWEN R · 2018 to 2020
$2.3M
Hardwiring Mechanism into Predicting Cancer Phenotypes by Computational LearningR01CA200859 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARCHIONNI, LUIGI · 2016 to 2020
$1.9M
The gEAR portal - Advancing Data Sharing, Analysis and Discovery for Hearing and Balance ResearchR01DC019370 · NIDCD · UNIVERSITY OF MARYLAND BALTIMORE · PI MAHURKAR, ANUP · 2021 to 2022
$1.5M
NCI NIH HHS R01 CA200859NIDCD NIH HHS R01 DC019370NIMH NIH HHS R24 MH114815
6 · The paper itself

Abstract

Definition of cell classes across the tissues of living organisms is central in the analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across biomedicine. Marker genes for cell classes are most often defined by differential expression (DE) methods that serially assess individual genes across landscapes of diverse cells. This serial approach has been extremely useful, but is limited because it ignores possible redundancy or complementarity across genes that can only be captured by analyzing multiple genes simultaneously. Interrogating binarized expression data, we aim to identify discriminating

Identifiers

PMID37383947
PMCPMC10299349

What OpenQuestion holds

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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.