Author

Mingming Jiang

Shanghai Jiao Tong UniversityORCID 0000-0001-9156-233XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Dong‐Qing WeiiD· 3 shared Yanyi ChuiD· 3 shared Qiankun WangiD· 2 shared Tianhang CheniD· 2 shared Yanjing WangiD· 2 shared Yi XiongiD· 2 shared Bowen ZhaoiD· 1 shared Dennis Russell SalahubiD· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Dong‐Qing WeiORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 11, 2022

A Self-attention Graph Convolutional Network for Precision Multi-tumour Early Diagnostics with DNA Methylation Data

Xue Jiang, Zhiqi Li, Heng Wang…·Dong‐Qing Wei

The paper introduces a self-attention graph convolutional network to identify key DNA methylation sites for multi-tumor early diagnostics, achieving improved sensitivity in blood-based detection.

DOI 10.1101/2022.02.11.480173

humanDNA methylation

𝕏 PostBluesky

BioinformaticsFrontiers in MicrobiologyPeer-reviewedSep 24, 2020

T4SE-XGB: interpretable sequence-based prediction of type IV secreted effectors using eXtreme gradient boosting algorithm

Tianhang Chen, Xiangeng Wang, Yanyi Chu…·Yi Xiong

This study introduces T4SE-XGB, an XGBoost-based model for predicting type IV secreted effectors from protein sequences, achieving high accuracy and interpretability.

42 citations

protein sequencemachine learning (classical)

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BioinformaticsBriefings in BioinformaticsPeer-reviewedAug 11, 2020

Predicting drug-target interactions using multi-label learning with community detection method (DTI-MLCD)

Yanyi Chu, Xiaoqi Shan, Tianhang Chen…·Dong‐Qing Wei

This study introduces DTI-MLCD, a multi-label learning method with community detection for predicting drug-target interactions, showing improved performance over existing methods.

88 citationstop 2%

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky