Identifying Gene Interaction Enrichment for Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Identifying Gene Interaction Enrichment for Gene Expression Data
Gene set analysis allows the inclusion of knowledge from established gene sets, such as gene pathways, and potentially improves the power of detecting differentially expressed genes. However, conventional methods of gene set analysis focus on gene marginal effects in a gene set, and ignore gene interactions which may contribute to complex human diseases. In this study, we propose a method of ge...
متن کاملIdentifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ontology requires highly specialized experts and is very time-consuming given the amount of literature that has to be analyzed and the difficulty in reaching consensus. This paper outlines a proposal for the developme...
متن کاملIdentifying Time-Lagged Gene Clusters on Gene Expression Data
Motivation: Analysis of gene expression data can provide insights into the time-lagged co-regulations of genes/gene clusters. However, existing methods such as Event Method and Edge Detection Method are inefficient as they only compare two genes each time. More importantly, they lose some important information due to their scoring criterion. In this paper, we propose an efficient algorithm to i...
متن کاملIdentifying Gene Regulatory Networks from Gene Expression Data
University of California, Davis 27.
متن کاملGene Set Enrichment Analysis (GSEA) for Interpreting Gene Expression Profiles
Gene set enrichment analysis (GSEA) is a statistical method to determine if predefined sets of genes are differentially expressed in different phenotypes. Predefined gene sets may be genes in a known metabolic pathway, located in the same cytogenetic band, sharing the same Gene Ontology category, or any user-defined set. In microarray experiments where no single gene shows statistically signifi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS ONE
سال: 2009
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0008064