 | 2012 |
|---|
| 7 |       | Ming Wu,
Christina Chan:
Learning transcriptional regulation on a genome scale: a theoretical analysis based on gene expression data.
Briefings in Bioinformatics 13(2): 150-161 (2012) |
| 2009 |
|---|
| 6 | | Xuerui Yang,
Yang Zhou,
Rong Jin,
Christina Chan:
Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorization.
Bioinformatics 25(17): 2236-2243 (2009) |
| 2008 |
|---|
| 5 |  | Yang Zhou,
Zheng Li,
Xuerui Yang,
Linxia Zhang,
Shireesh Srivastava,
Rong Jin,
Christina Chan:
Using Knowledge Driven Matrix Factorization to Reconstruct Modular Gene Regulatory Network.
AAAI 2008: 811-816 |
| 4 | | Rong Jin,
Luo Si,
Christina Chan:
A Bayesian framework for knowledge driven regression model in micro-array data analysis.
IJDMB 2(3): 250-267 (2008) |
| 2007 |
|---|
| 3 | | Zheng Li,
Shireesh Srivastava,
Sheenu Mittal,
Xuerui Yang,
Lufang Sheng,
Christina Chan:
A Three Stage Integrative Pathway Search (TIPS(c)) framework to identify toxicity relevant genes and pathways.
BMC Bioinformatics 8: (2007) |
| 2006 |
|---|
| 2 | | Zheng Li,
Stephen M. Shaw,
Matthew J. Yedwabnick,
Christina Chan:
Using a state-space model with hidden variables to infer transcription factor activities.
Bioinformatics 22(6): 747-754 (2006) |
| 2004 |
|---|
| 1 | | Daehee Hwang,
George Stephanopoulos,
Christina Chan:
Inverse modeling using multi-block PLS to determine the environmental conditions that provide optimal cellular function.
Bioinformatics 20(4): 487-499 (2004) |
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