Author

Jing-wei Ma

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:Arabidopsis· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Fei WangiD· 1 shared Lin Li· 1 shared Liting Zou· 1 shared Peipei WangiD· 1 shared Xiaoxue WangiD· 1 shared Xinyi Zuo· 1 shared Zhenglin WangiD· 1 shared Zhimei LiiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPlant Biology

Fei WangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Usefulness of scRNA-seq data in predicting plant metabolic pathway genes

Jing-wei Ma, Zhenglin Wang, Liting Zou, Xiaoxue Wang, Xinyi Zuo, Fei Wang, Zhiqing Wang, Zhimei Li, Lin Li, Peipei Wang

This study uses scRNA-seq data with machine learning to predict plant metabolic pathway genes, finding higher accuracy compared to bulk RNA-seq and suggesting more benchmark genes improve predictions.

bioRxiv · Oct 7, 2024 · PreprintPlant Biology