Tianwei Yu

11PUBLICATIONS
22CO-AUTHORS
Biological network analysisGenomics and transcriptomicsProteomics and metabolomicsArtificial life and complex adaptive systemsGene expression (incl. microarray and other genome-wide approaches)
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Publications (11)

|Jul 24, 2026
Knowledge-driven interpretable neural networks provide mechanistic insight.

|Mar 28, 2026
HarveST uses a heterogeneous graph learning framework to reveal spatial transcriptomics patterns.

Junning Feng, Tianwei Yu, Yanlin Zhang

|Jan 25, 2026
FAST: Scalable Factor Analysis for Spatial Dimension Reduction of Multi-section Spatial Transcriptomics.

Wei Liu, Xiao Zhang, Xiaoran Chai

|Apr 21, 2025
Nonlinear embedding and integration of omics data: a fast and tuning-free approach.

Shengjie Liu, Tianwei Yu

|Jun 27, 2023
An integrated deep learning framework for the interpretation of untargeted metabolomics data.

Leqi Tian, Tianwei Yu

|Jan 26, 2022
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments.

Tianwei Yu

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Frequent Collaborators

1 joint publications

Daniela C Mónaco

1 joint publications

Dario A Dilernia

1 joint publications

Kristine K Dennis

1 joint publications

Kai Qin