Author

Huimin Cheng

Boston UniversityORCID 0000-0001-7992-8175Unclaimed ORCID profile · follow to get notified of new preprints

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Huimin Cheng1 paper · XtalPi (China)

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Aarya VenkatiD· 1 shared Jun S. LiuiD· 1 shared Khaled RasheediD· 1 shared Liang‐Chin HuangiD· 1 shared Natarajan KannaniD· 1 shared Ping MaiD· 1 shared Sheng LiiD· 1 shared Wayland YeungiD· 1 shared

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2020-2025 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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Aarya VenkatORCID

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2 papers

Recent·Most cited

Bioinformaticsneural information processing systemsPeer-reviewedJan 1, 2025

JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics

Yuanchuan Guo, Jun S. Liu, Huimin Cheng, Ying Ma

JADE improves multi-slice spatial transcriptomics analysis by jointly aligning slices and learning shared embeddings, outperforming existing methods on benchmark datasets.

2 citationstop 3%

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BioinformaticsBMC BioinformaticsPeer-reviewedNov 12, 2020

Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) Model for Protein Kinase Inhibitor Response Prediction

Liang‐Chin Huang, Wayland Yeung, Ye Wang…·Natarajan Kannan

The paper introduces QSMART, a model that predicts protein kinase inhibitor response by combining statistical and neural network methods, achieving high accuracy and feature explainability.

13 citations

humanproteomics

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