Machine Learning Identifies Key Gene Markers Related to Fetal Retina Development at Single-Cell Transcription Level

This study explored molecular features related to the development of the fetal retina and their potential roles in certain pathways, which may provide novel insights into retinal development and contribute to a better understanding of other retinal diseases.

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Publication Details

Journal
Investigative Ophthalmology & Visual Science
Published
2025-06-18
DOI
https://doi.org/10.1167/iovs.66.6.60
Citations
1
Primary Topic
interferon and immune responses
Type
article
Field-Weighted Citation Impact
0.80
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article

Machine Learning Identifies Key Gene Markers Related to Fetal Retina Development at Single-Cell Transcription Level

Qinglan Ma, Yusheng Bao, Yu-Dong Cai, Tong Du et al.
1 citations
Investigative Ophthalmology & Visual Science
interferon and immune responses
0.80
article

Machine Learning Identifies Key Gene Markers Related to Fetal Retina Development at Single-Cell Transcription Level

Qinglan Ma, Yusheng Bao, Yu-Dong Cai, Tong Du, Jian Zhang, Jiyu Zhang, Yiqing Jin
article en
1 citations

Abstract

This study explored molecular features related to the development of the fetal retina and their potential roles in certain pathways, which may provide novel insights into retinal development and contribute to a better understanding of other retinal diseases.

Investigative Ophthalmology & Visual ScienceVol. 66(6)
Shanghai University (CN), Shanghai Jiao Tong University (CN), Shanghai First People's Hospital (CN), Shanghai Clinical Research Center (CN)
Zero hunger
Openalex Percentile: Top 27%
interferon and immune responses
0.80
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