AcImpute: a constraint-enhancing smooth-based approach for imputing single-cell RNA sequencing data

Authors

Tiantian Liu
Yuanyuan Li (ORCID: https://orcid.org/0000-0003-2981-8976)
Han Zhang (ORCID: https://orcid.org/0000-0001-7207-1201)
Wei Zhang (ORCID: https://orcid.org/0000-0002-8884-7956)

Institutions

Wuhan Institute of Technology (CN)

Publication Details

Journal: Bioinformatics
Published: 2025-03-01
DOI: https://doi.org/10.1093/bioinformatics/btae711
Citations: 3
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 2.42

Funders

National Natural Science Foundation of China

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

AcImpute: a constraint-enhancing smooth-based approach for imputing single-cell RNA sequencing data

Tiantian Liu, Yuanyuan Li, Han Zhang, Wei Zhang

Mar 1, 2025

3 citations

Bioinformatics

Single-cell and spatial transcriptomics

2.42

article

AcImpute: a constraint-enhancing smooth-based approach for imputing single-cell RNA sequencing data

Tiantian Liu, Yuanyuan Li, Han Zhang, Wei Zhang

March 1, 2025article en

3 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(3)

Wuhan Institute of Technology (CN)

National Natural Science Foundation of China

Openalex Percentile: Top 13%

Single-cell and spatial transcriptomics

2.42

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.

AcImpute: a constraint-enhancing smooth-based approach for imputing single-cell RNA sequencing data — Tiantian Liu, Yuanyuan Li, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS