OneSC: a computational platform for recapitulating cell state transitions

Authors

Patrick Cahan (ORCID: https://orcid.org/0000-0003-3652-2540)
Da Peng (ORCID: https://orcid.org/0000-0001-5782-8405)

Institutions

Johns Hopkins University (US)
Johns Hopkins Medicine (US)

Publication Details

Journal: Bioinformatics
Published: 2024-11-19
DOI: https://doi.org/10.1093/bioinformatics/btae703
Citations: 1
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.23

Funders

National Institutes of Health

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

OneSC: a computational platform for recapitulating cell state transitions

Patrick Cahan, Da Peng

Nov 19, 2024

1 citations

Bioinformatics

Single-cell and spatial transcriptomics

0.23

article

OneSC: a computational platform for recapitulating cell state transitions

Patrick Cahan, Da Peng

November 19, 2024article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(12)

Johns Hopkins University (US), Johns Hopkins Medicine (US)

National Institutes of Health

Openalex Percentile: Top 41%

Single-cell and spatial transcriptomics

0.23

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

OneSC: a computational platform for recapitulating cell state transitions — Patrick Cahan, Da Peng · Bioinformatics (2024) | TGRS Research Map | TGRS