Tianwei Yu
Orcid: 0000-0003-1766-8683
According to our database1,
Tianwei Yu
authored at least 35 papers
between 2005 and 2023.
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Bibliography
2023
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events.
Comput. Biol. Medicine, November, 2023
An integrated deep learning framework for the interpretation of untargeted metabolomics data.
Briefings Bioinform., July, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
J. Intell. Robotic Syst., July, 2022
Remote. Sens., 2022
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments.
PLoS Comput. Biol., 2022
Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data.
Bioinform., 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Briefings Bioinform., 2021
2020
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction.
Bioinform., 2020
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment.
Bioinform., 2020
2019
BMC Bioinform., December, 2019
IEEE Trans. Veh. Technol., 2019
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction.
CoRR, 2019
2018
Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach.
Stat. Anal. Data Min., 2018
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data.
PLoS Comput. Biol., 2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data.
Bioinform., 2018
Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations.
Bioinform., 2018
Bioinform., 2018
2017
2016
Bayesian network feature finder (BANFF): an R package for gene network feature selection.
Bioinform., 2016
2014
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach.
Bioinform., 2014
2013
Hierarchical Clustering of High- Throughput Expression Data Based on General Dependences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Stat. Anal. Data Min., 2013
xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data.
BMC Bioinform., 2013
2011
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Stat. Anal. Data Min., 2011
2010
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection.
BMC Bioinform., 2010
An exploratory data analysis method to reveal modular latent structures in high-throughput data.
BMC Bioinform., 2010
2009
2007
A forward-backward fragment assembling algorithm for the identification of genomic amplification and deletion breakpoints using high-density single nucleotide polymorphism (SNP) array.
BMC Bioinform., 2007
Bioinform., 2007
2005
Bioinform., 2005
Inference of transcriptional regulatory network by two-stage constrained space factor analysis.
Bioinform., 2005