Ting Huang
PhD Student
Education
- MS, Dalian University of Technology – China
- BS, Dalian University of Technology – China
Biography
Ting Huang is a doctoral student studying computational biology and proteomics at Northeastern University’s Khoury College of Computer Sciences, advised by Olga Vitek. Ting received her undergraduate and master degrees at the Dalian University of Technology in China. Before her time at Khoury College, she took a year-long statistics course which established her foundations in her research. Ting is interested in using computer science technologies and statistical knowledge to solve practical biology problems. Her current research focuses on experimental design and statistical analysis of mass spectrometry-based quantitative proteomics experiments. She is the main developer and maintainer of R/Bioconductor software MSstatsTMT.
Recent Publications
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MSstatsTMT: Statistical Detection of Differentially Abundant Proteins in Experiments with Isobaric Labeling and Multiple Mixtures
Citation: T. Huang, M. Choi, M. Tzouros, S. Golling, N. J. Pandya, B. Banfai, T. Dunkley, O. Vitek. “MSstatsTMT: Statistical detection of differentially abundant proteins in experiments with isobaric labeling and multiple mixtures”, Molecular & Cellular Proteomics, mcp.RA120.002105, 2020. DOI: 10.1074/mcp.ra120.002105 -
MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets
Citation: M. Choi, J. Carver, C. Chiva, et al. "MassIVE.quant: a community resource of quantitative mass spectrometry–based proteomics datasets". Nat Methods 17, 981–984 (2020). DOI: 10.1038/s41592-020-0955-0 -
Combining precursor and fragment information for improved detection of differential abundance in data independent acquisition
Citation: T. Huang*, R. Bruderer, J. Muntel, Y. Xuan, O. Vitek and L. Reiter. Combining precursor and fragment information for improved detection of differential abundance in data independent acquisition. Molecular & Cellular Proteomics, 19:421, 2020.