 | 2008 |
|---|
| 12 |       | Caiyan Li,
Hongzhe Li:
In Response to Comment on "Network-constrained regularization and variable selection for analysis of genomic data".
Bioinformatics 24(21): 2569 (2008) |
| 11 | | Caiyan Li,
Hongzhe Li:
Network-constrained regularization and variable selection for analysis of genomic data.
Bioinformatics 24(9): 1175-1182 (2008) |
| 2007 |
|---|
| 10 | | Lifeng Wang,
Guang Chen,
Hongzhe Li:
Group SCAD regression analysis for microarray time course gene expression data.
Bioinformatics 23(12): 1486-1494 (2007) |
| 9 | | Zhi Wei,
Hongzhe Li:
A Markov random field model for network-based analysis of genomic data.
Bioinformatics 23(12): 1537-1544 (2007) |
| 2005 |
|---|
| 8 | | Jiang Gui,
Hongzhe Li:
Threshold Gradient Descent Method for Censored Data Regression with Applications in Pharmacogenomics.
Pacific Symposium on Biocomputing 2005 |
| 7 | | Hongzhe Li,
Yihui Luan:
Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data.
Bioinformatics 21(10): 2403-2409 (2005) |
| 6 | | Jiang Gui,
Hongzhe Li:
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Bioinformatics 21(13): 3001-3008 (2005) |
| 2004 |
|---|
| 5 | | Hongzhe Li,
Jiang Gui:
Partial Cox regression analysis for high-dimensional microarray gene expression data.
ISMB/ECCB (Supplement of Bioinformatics) 2004: 208-215 |
| 4 | | Lexin Li,
Hongzhe Li:
Dimension reduction methods for microarrays with application to censored survival data.
Bioinformatics 20(18): 3406-3412 (2004) |
| 3 | | Yihui Luan,
Hongzhe Li:
Model-based methods for identifying periodically expressed genes based on time course microarray gene expression data.
Bioinformatics 20(3): 332-339 (2004) |
| 2003 |
|---|
| 2 | | Hongzhe Li,
Yihui Luan:
Kernel Cox Regression Models for Linking Gene Expression Profiles to Censored Survival Data.
Pacific Symposium on Biocomputing 2003: 65-76 |
| 1 |  | Yihui Luan,
Hongzhe Li:
Clustering of time-course gene expression data using a mixed-effects model with B-splines.
Bioinformatics 19(4): 474-482 (2003) |
