default search action
Tianwei Yu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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) - [c3]Fu Chen
Fast-scBatch: Batch Effect Correction Using Neural Network-Driven Distance Matrix Adjustment. BCB 2024: 66:1-66:6 - 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) - [c2]Tianwei Yu
Multi-Speed Global Contextual Subspace Matching for Few-Shot Action Recognition. ACM Multimedia 2023: 2344-2352 - 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) - [c1]Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo:
BraceNet: Graph-Embedded Neural Network For Brain Network Analysis. IEEE Big Data 2022: 4979-4987 - 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)
2010 – 2019
- 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) - [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) - 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)
2000 – 2009
- 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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: