Rollins School of Public Health | Faculty Profile
Emory Rollins School of Public Health

Tianwei  Yu

Associate Professor

Faculty, Biostatistics and Bioinformatics

My research is focused on bioinformatics. I develop methods in the areas of metabolomics, exposomics, and systems biology. In my collaborative research, I work on virology/vaccinology, nutrition, and cancer. I am affiliated with the Emory Vaccine Center.

My personal webpage is at http://web1.sph.emory.edu/users/tyu8/

Contact Information

Rollins School of Public Health , 1518 Clifton Rd., N.E.

Atlanta , GA 30322

1518 Clifton Rd., N.E.

Phone: (404) 727-7671

Fax: (404) 727-1370

Email: tyu8@emory.edu

URL:

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Areas of Interest

  • Bioinformatics
  • Cancer Prevention
  • HIV/AIDS Prevention
  • Environmental Health

Affiliations & Activities

Associated Associate Professor, Department of Mathematics and Computer Science.

Affiliate faculty member, Emory Vaccine Center.

Publications

  • , , Hybrid feature detection and information accumulation using high-resolution LC-MS metabolomics data., J. Proteome Res., 12, 1419-1427
  • , , A Bayesian nonparametric mixture model for selecting genes and gene sub-networks, Ann. Appl. Stat., 8, 999-1021
  • , , EgoNet: identification of human disease ego-network modules., BMC Genomics, 15, 314
  • , , Improving peak detection in high-resolution LC/MS metabolomics data using preexisting knowledge and machine learning approach., Bioinformatics, 30, 2941-2948
  • , , Local false discovery rate estimation using feature reliability in LC/MS metabolomics data., Scientific Reports, 5, 17221
  • , , Detecting subnetwork-level dynamic correlations., Bioinformatics, 33, 256-265
  • , , ROC Curve Analysis in the Presence of Imperfect Reference Standards., Statistics in Biosciences, 9, 91-104
  • , , Network Marker Selection for Untargeted LC/MS Metabolomics Data. , J. Proteome Res., 16, 1261-1269.
  • , , Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations., Bioinformatics, 34, 1555-1561
  • , , A new dynamic correlation algorithm reveals novel functional aspects in single cell and bulk RNA-seq Data, PLoS Computational Biology, 14, e1006391
  • , , A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data., Bioinformatics, Epub ahead of print,
  • , , Mitigating the adverse impact of batch effects in sample pattern detection., Bioinformatics, Epub ahead of print,