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Briefings in Bioinformatics|June 27, 2023
An integrated deep learning framework for the interpretation of untargeted metabolomics dataLeqi Tian, Tianwei YuBriefings in Bioinformatics|October 25, 2024
A robust statistical approach for finding informative spatially associated pathwaysLeqi Tian, Jiashun Xiao, Tianwei YuBiomolecules|July 29, 2023
Graph Random Forest: A Graph Embedded Algorithm for Identifying Highly Connected Important FeaturesLeqi Tian, Wenbin Wu, Tianwei YuBioinformatics (Oxford, England)|May 31, 2022
Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics dataLeqi Tian, Zhenjiang Li, Guoxuan Ma, et al.Briefings in Bioinformatics|March 11, 2025
Dissecting genetic regulation of metabolic coordinationEmily C Hector, Daiwei Zhang, Leqi Tian, et al.Frontiers in Genetics|March 18, 2025
STsisal: a reference-free deconvolution pipeline for spatial transcriptomics dataYinghao Fu, Leqi Tian, Weiwei ZhangPlos Computational Biology|January 26, 2022
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustmentsTianwei YuBMC Bioinformatics|August 31, 2010
An exploratory data analysis method to reveal modular latent structures in high-throughput dataTianwei YuPlos Computational Biology|August 7, 2018
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq dataTianwei YuStatistical Analysis and Data Mining|January 1, 2019
Nonlinear variable selection with continuous outcome: a fully nonparametric incremental forward stagewise approachTianwei YuPageof 14