PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data

Authors

Shen Yan (ORCID: https://orcid.org/0000-0002-9236-9483)
Xiaoding Ma (ORCID: https://orcid.org/0000-0002-3623-4680)
Yuan Cao (ORCID: https://orcid.org/0000-0001-6631-4908)
Wei Fang (ORCID: https://orcid.org/0000-0003-0750-4749)
Lijia Liu (ORCID: https://orcid.org/0000-0003-2439-0739)
Jingpeng Hong (ORCID: https://orcid.org/0009-0005-5861-8430)
Xiangzheng Fu (ORCID: https://orcid.org/0000-0001-6840-2573)
Haolin Wang (ORCID: https://orcid.org/0000-0002-1735-9525)
B. Pan (ORCID: https://orcid.org/0000-0003-2538-0364)
Yi Wang (ORCID: https://orcid.org/0000-0003-3077-2899)
Yanqing Chen (ORCID: https://orcid.org/0000-0002-9534-6199)
Yongsheng Cao

Institutions

Hong Kong Baptist University (HK)
Washington University in St. Louis (US)
Institute of Crop Sciences (CN)
Henan Agricultural University (CN)

Publication Details

Journal: aBIOTECH
Published: 2025-02-20
DOI: https://doi.org/10.1007/s42994-025-00196-6
Citations: 3
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 2.42

Funders

National Natural Science Foundation of China
National Key Research and Development Program of China

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data

Shen Yan, Xiaoding Ma, Yuan Cao, Wei Fang et al.

Feb 20, 2025

3 citations

aBIOTECH

Single-cell and spatial transcriptomics

2.42

article

PhytoCluster: a generative deep learning model for clustering plant single-cell RNA-seq data

Shen Yan, Xiaoding Ma, Yuan Cao, Wei Fang, Lijia Liu, Jingpeng Hong, Xiangzheng Fu, Haolin Wang, B. Pan, Yi Wang, Yanqing Chen, Yongsheng Cao

February 20, 2025article en

3 citations

Abstract

No abstract available for this paper.

aBIOTECHVol. 6(2)

Hong Kong Baptist University (HK), Washington University in St. Louis (US), Institute of Crop Sciences (CN), Henan Agricultural University (CN)

National Natural Science Foundation of China, National Key Research and Development Program 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.