Journal of Health & Medical Informatics

Wing-Lun Lamx

Publications

• Research Article
  Decomposition Approach for Learning Large Gene Regulatory Network
  Author(s): Leung-Yau Lo, Man-Leung Wongy, Kwong-Sak Leungz, Wing-Lun Lamx and Chi-Wai ChungLeung-Yau Lo, Man-Leung Wongy, Kwong-Sak Leungz, Wing-Lun Lamx and Chi-Wai Chung
  
  Gene Regulatory Network (GRN) represents the complex interaction between Transcription Factors (TFs) and other genes with time delays. They are important in the working of the cell. Learning GRN is an important first step towards understanding the working of the cell and consequently curing diseases related to malfunctioning of the cell. One significant problem in learning GRN is that the available time series expression data is still limited compared to the network size. To alleviate this problem, besides using multiple expression replicates, we propose to decompose large network into small subnetwork without prior knowledge. Our algorithm first infers an initial GRN using CLINDE, then decomposes it into possibly overlapping subnetworks, then infers each subnetwork by either CLINDE or DD-lasso and finally merges the subnetworks. We have tested this algorithm on synthetic data of many ne.. Read More»
  DOI: 10.4172/2157-7420.1000315

  Abstract PDF