Author

Chongming Ni

Toyota Technological Institute at Chicago

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

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:protein sequence· 1

Frequent Co-Authors

Feng ZhaoiD· 1 shared Jinbo XuiD· 1 shared Qing WangiD· 1 shared Renmin HaniD· 1 shared Sheng WangiD· 1 shared Xin GaoiD· 1 shared Xiufeng LiiD· 1 shared Zhen LiiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Feng ZhaoORCID

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1 paper

Recent·Most cited

PureseqTM: Efficient and accurate prediction of transmembrane topology from amino acid sequence only

Qing Wang, Chongming Ni, Zhen Li, Xiufeng Li, Renmin Han, Feng Zhao, Jinbo Xu, Xin Gao, Sheng Wang

PureseqTM predicts transmembrane topology from amino acid sequences, outperforming existing methods and correcting UniProt annotations in the human proteome.

bioRxiv · May 28, 2019 · PreprintBioinformatics