Research / Clinical
Summary
|
|
 |
Xin Lu, PhD
Assistant Adjunct Professor, Family & Preventive Medicine
Cancer Biology Program
Contact by Email
|
Diseases/Research Topics
Computational Biology, Microarray, Proteomics
Dr. Xin Lu's research has been focused on computational biology methodologies and their application in high dimensional microarray and proteomics data analyses applied in cancer biology research. His research areas include false discovery rate control, supervised and unsupervised learning, feature selection, and system biology methods.
He developed a Bayesian mixture model to approximate the lost of synchrony in yeast cell-cycle microarray studies in order to identify cell-cycle related genes. He developed the R-SVM algorithm to identify the most informative genes in classifying cancer samples, and applied it successfully in a breast cancer proteomics study. He has recently proposed a new FDR algorithm to control the false discovery rate while maintain good power in finding differentially expressed genes from microarray data.
Update Summary via ONcLINE (password required)
Click here to request a
new or forgotten password
|
