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Emory Rollins School of Public Health
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Tianwei  Yu

Adjunct Professor

Adjunct or Visiting, 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

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



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Areas of Interest

  • Bioinformatics
  • Environmental Health
  • HIV/AIDS Prevention


  • Ph.D. in Statistics 2005, UCLA
  • M.S. in Biochemistry 2004, UCLA
  • M.S. in Biochemistry & Molecular Biology 2000, Tsinghua University
  • B.S. in Biological Sciences 1997, Tsinghua University

Affiliations & Activities

Associated faculty, Department of Computer Science.

Affiliate faculty member, Emory Vaccine Center.


  • , , scBatch: Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment, Bioinformatics, (Accepted),
  • , , A hypergraph-based method for large-scale dynamic correlation study at the transcriptomic scale., BMC Genomics, 20, 397
  • , , 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, 34, 3727-3737
  • , , Missing value imputation for LC-MS metabolomics data by incorporating metabolic network and adduct ion relations., Bioinformatics, 34, 1555-1561
  • , , Mitigating the adverse impact of batch effects in sample pattern detection., Bioinformatics, 34, 2634?2641
  • , , 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
  • , , A Bayesian nonparametric mixture model for selecting genes and gene sub-networks, Ann. Appl. Stat., 8, 999-1021