photo by Kui Shen

Success is the ability to go from failure to failure without losing your enthusiasm. --- Winston Churchill

Ying Liu is a Ph.D candidate of the Joint CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh.
He is working with Prof. Ivet Bahar, in computational structural biology. His project mentor was Eran Eyal.
Click here for more details about past and on-going projects.

Education

B.E., Electrical Engineering, Wuhan University, Wuhan, China
M.E., Software Engineering, Tsinhgua University, Beijing, China

Publication

Ying Liu, Eran Eyal, Ivet Bahar. (2008) Analysis of Correlated Mutations in HIV-1 Protease Using Spectral Clustering. Bioinformatics. 24:1243-1250. (access)
Ying Liu, Yuanlie Lin.(2004) A novel method for N-terminal acetylation prediction. Genomics Proteomics Bioinformatics. 2(4):253-5. (Pubmed)

Web Server

MI Suite (coming soon)

E-Mail

YIL43 @ {PITT, CMU}.EDU

Office Information

3064 BST 3, 3501 Fifth Ave, Pittsburgh, PA 15260
Tel: 412 383 7256

Selected Courses

• CMU 10-701 Machine Learning
• Pitt MSMBPH2001 Molecular Biophysics I
• CMU 02-710 Computational Genomics
• Pitt MSCBIO2030,2035 Computational Structural Biology I & II
• Pitt Math2370,2371 Matrices and Linear Operaors I & II
• CMU 15-750 Graduate Algorithms
• CMU 15-852 Computational Geometry (audit)

TA Courses

• MSCBIO2050 Laboratory Methods for Computational Biologists
• MSCBIO2030 Computational Structural Biology I
  Tutorial on Calculating &Delta&DeltaG

Thesis Proposal

• Defense Slides

Code Pieces (still being documented, but feel free to try them out)

• Mutual Information for Correlated Mutation Analysis (C++ version, Matlab version)
  If this code has helped you in your publication, please kindly cite
  Ying Liu, Eran Eyal, Ivet Bahar. (2008) Analysis of Correlated Mutations in HIV-1 Protease Using Spectral Clustering. Bioinformatics. 24:1243-1250.
• Dijkstra algorithm (C++ version Python version)