- Discriminative motif finding for predicting protein subcellular localizationTien ho Lin
Carnegie Mellon University, Pittsburgh, Pittsburgh, PA 15213, USA
IEEE/ACM Trans Comput Biol Bioinform 8:441-51. 2011..A software implementation and the data set described in this paper are available from http://murphylab.web.cmu.edu/software/2009_TCBB_motif/...
- Learning cellular sorting pathways using protein interactions and sequence motifsTien ho Lin
Language Technology Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
J Comput Biol 18:1709-22. 2011..Supplementary results and software implementation are available from http://murphylab.web.cmu.edu/software/2010_RECOMB_pathways/...
- Alignment and classification of time series gene expression in clinical studiesTien ho Lin
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Bioinformatics 24:i147-55. 2008..Methods that are specifically designed for this temporal data can both utilize its unique features (temporal evolution of profiles) and address its unique challenges (different response rates of patients in the same class)...