Author

Jie Song

Northwest A&F UniversityORCID 0000-0002-5595-1837Unclaimed ORCID profile · follow to get notified of new preprints

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Jie Song2 papers · Johns Hopkins University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chuang MaiD· 2 shared Jingjing ZhaiiD· 2 shared Qian ChengiD· 2 shared Jiajia LiiD· 1 shared Wenlong MaiD· 1 shared Yunjia TangiD· 1 shared Zhixu QiuiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Chuang MaORCID

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2 papers

Recent·Most cited

BioinformaticsPlantaPeer-reviewedAug 12, 2018

DeepGS: Predicting phenotypes from genotypes using Deep Learning

Wenlong Ma, Zhixu Qiu, Jie Song…·Chuang Ma

DeepGS predicts phenotypes from genotypes using deep learning, achieving higher accuracy than conventional methods and RR-BLUP across multiple traits.

343 citationstop 1%

whole-genome sequencingdeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedMay 23, 2018

PEA: an integrated R toolkit for plant epitranscriptome analysis

Jingjing Zhai, Jie Song, Qian Cheng…·Chuang Ma

PEA is an R toolkit for plant epitranscriptome analysis, offering CMR calling, prediction, and annotation with high accuracy for m6A modifications in Arabidopsis thaliana.

44 citations

Arabidopsiswhole-genome sequencing

𝕏 PostBluesky