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Tianwei Yu
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Journal Articles
- 2024
- [j34]Guoxuan Ma
, Jian Kang
Bayesian functional analysis for untargeted metabolomics data with matching uncertainty and small sample sizes. Briefings Bioinform. 25(3) (2024) - [j33]Leqi Tian, Jiashun Xiao, Tianwei Yu:
A robust statistical approach for finding informative spatially associated pathways. Briefings Bioinform. 25(6) (2024) - 2023
- [j32]Leqi Tian
An integrated deep learning framework for the interpretation of untargeted metabolomics data. Briefings Bioinform. 24(4) (2023) - [j31]Junning Feng, Yong Liang, Tianwei Yu
MM-GANN-DDI: Multimodal Graph-Agnostic Neural Networks for Predicting Drug-Drug Interaction Events. Comput. Biol. Medicine 166: 107492 (2023) - 2022
- [j30]Leqi Tian
Metapone: a Bioconductor package for joint pathway testing for untargeted metabolomics data. Bioinform. 38(14): 3662-3664 (2022) - [j29]Peng Chen, Yongqi Jiang, Yuanjie Dang, Tianwei Yu, Ronghua Liang:
Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints. J. Intell. Robotic Syst. 105(3): 52 (2022) - [j28]Tianwei Yu
AIME: Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments. PLoS Comput. Biol. 18(1) (2022) - [j27]Junge Shen
An Attention Cascade Global-Local Network for Remote Sensing Scene Classification. Remote. Sens. 14(9): 2042 (2022) - 2021
- [j26]Kenong Su, Tianwei Yu
Accurate feature selection improves single-cell RNA-seq cell clustering. Briefings Bioinform. 22(5) (2021) - 2020
- [j25]Teng Fei
scBatch: batch-effect correction of RNA-seq data through sample distance matrix adjustment. Bioinform. 36(10): 3115-3123 (2020) - [j24]Yunchuan Kong, Tianwei Yu
forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction. Bioinform. 36(11): 3507-3515 (2020) - 2019
- [j23]Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu
DNLC: differential network local consistency analysis. BMC Bioinform. 20-S(15): 489 (2019) - [j22]Yuanjie Dang
Real-Time Semantic Plane Reconstruction on a Monocular Drone Using Sparse Fusion. IEEE Trans. Veh. Technol. 68(8): 7383-7391 (2019) - 2018
- [j21]Zhuxuan Jin, Jian Kang
Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations. Bioinform. 34(9): 1555-1561 (2018) - [j20]Teng Fei
Mitigating the adverse impact of batch effects in sample pattern detection. Bioinform. 34(15): 2634-2641 (2018) - [j19]Yunchuan Kong, Tianwei Yu
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data. Bioinform. 34(21): 3727-3737 (2018) - [j18]Tianwei Yu
A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq data. PLoS Comput. Biol. 14(8) (2018) - [j17]Tianwei Yu
Nonlinear variable selection with continuous outcome: A fully nonparametric incremental forward stagewise approach. Stat. Anal. Data Min. 11(4): 188-197 (2018) - 2017
- [j16]Yan Yan, Shangzhao Qiu, Zhuxuan Jin, Sihong Gong, Yun Bai, Jianwei Lu, Tianwei Yu
Detecting subnetwork-level dynamic correlations. Bioinform. 33(2): 256-265 (2017) - 2016
- [j15]Zhou Lan, Yize Zhao, Jian Kang
Bayesian network feature finder (BANFF): an R package for gene network feature selection. Bioinform. 32(23): 3685-3687 (2016) - 2014
- [j14]Tianwei Yu
Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach. Bioinform. 30(20): 2941-2948 (2014) - [j13]Tianwei Yu
Network-based modular latent structure analysis. BMC Bioinform. 15(S-13): S6 (2014) - 2013
- [j12]Karan Uppal
xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data. BMC Bioinform. 14: 15 (2013) - [j11]Tianwei Yu
AAPL: assessing association between p-value lists. Stat. Anal. Data Min. 6(2): 144-155 (2013) - [j10]Tianwei Yu
Hierarchical Clustering of High- Throughput Expression Data Based on General Dependences. IEEE ACM Trans. Comput. Biol. Bioinform. 10(4): 1080-1085 (2013) - 2011
- [j9]Anna J. Blackstock, Amita K. Manatunga, Youngja Park
Clustering based on periodicity in high-throughput time course data. Stat. Anal. Data Min. 4(6): 579-589 (2011) - [j8]Tianwei Yu
Incorporating Nonlinear Relationships in Microarray Missing Value Imputation. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 723-731 (2011) - 2010
- [j7]Tianwei Yu
An exploratory data analysis method to reveal modular latent structures in high-throughput data. BMC Bioinform. 11: 440 (2010) - [j6]Tianwei Yu
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection. BMC Bioinform. 11: 559 (2010) - 2009
- [j5]Tianwei Yu
apLCMS - adaptive processing of high-resolution LC/MS data. Bioinform. 25(15): 1930-1936 (2009) - 2007
- [j4]Wei Sun, Tianwei Yu
Detection of eQTL modules mediated by activity levels of transcription factors. Bioinform. 23(17): 2290-2297 (2007) - [j3]Tianwei Yu
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. 8 (2007) - 2005
- [j2]Tianwei Yu
Study of coordinative gene expression at the biological process level. Bioinform. 21(18): 3651-3657 (2005) - [j1]Tianwei Yu
Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinform. 21(21): 4033-4038 (2005)
Conference and Workshop Papers
- 2024
- [c3]Fu Chen
Fast-scBatch: Batch Effect Correction Using Neural Network-Driven Distance Matrix Adjustment. BCB 2024: 66:1-66:6 - 2023
- [c2]Tianwei Yu
Multi-Speed Global Contextual Subspace Matching for Few-Shot Action Recognition. ACM Multimedia 2023: 2344-2352 - 2022
- [c1]Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo:
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. IEEE Big Data 2022: 4979-4987
Informal and Other Publications
- 2019
- [i1]Yunchuan Kong, Tianwei Yu:
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction. CoRR abs/1905.09889 (2019)
Coauthor Index
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