CIT: identification of differentially expressed clusters of genes from microarray data
نویسندگان
چکیده
Cluster Identification Tool (CIT) is a microarray analysis program that identifies differentially expressed genes. Following division of experimental samples based on a parameter of interest, CIT uses a statistical discrimination metric and permutation analysis to identify clusters of genes or individual genes that best differentiate between the experimental groups. CIT integrates with the freely available CLUSTER and TREEVIEW programs to form a more complete microarray analysis package.
منابع مشابه
Extracellular exosomes and preeclampsia: a microarray-based study and functional enrichment analysis
Background: Preeclampsia (PE) is a heterogeneous pregnancy disease which the exact pathophysiology of it is unknown. Recently exosomes have been indicated as a causative factor in the pathogenesis of PE. The aim of the study was to investigate in microarray library data to extract the differentially expressed genes (DEGs) in PE and to perform a functional enrichment analysis to predict the rol...
متن کاملO-29: Differences in The Transcriptional Profiles of Human Cumulus Cells Isolated From MI and MII Oocytes of Patients with Polycystic Ovary Syndrome
Background: Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in women. The abnormalities of endocrine and intra-ovarian paracrine interactions may change the microenvironment for oocyte development during the folliculogenesis process and reduce the developmental competence of oocytes in PCOS patients who are suffering from anovulatory infertility and pregnancy loss....
متن کاملGene Identification from Microarray Data for Diagnosis of Acute Myeloid and Lymphoblastic Leukemia Using a Sparse Gene Selection Method
Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection method. Materials and Methods: In this descriptive study, the expressio...
متن کاملGene Regulation Network Based Analysis Associated with TGF-beta Stimulation in Lung Adenocarcinoma Cells
Background: Transforming growth factor (TGF)-β is over-expressed in a wide variety of cancers such as lung adenocarcinoma. TGF-β plays a major role in cancer progression through regulating cancer cell proliferation and remodeling of the tumor micro-environment. However, it is still a great challenge to explain the phenotypic effects caused by TGF-β stimulation and the effect of TGF-β stimulatio...
متن کاملPredicting CpG Islands and DNA Methlation in the Cow Genome Using DNA Microarray Meta-Analysis and Genome Wide Scanning
DNA methylation is a type of epigenetic changes that directly affects DNA. In mammals, DNA methylation is essential for fetal development and stem cell differentiation and this phenomenon essentially occurs within the CpG islands. In this study, two methods were used to study the DNA methylation profile of cow genome. In the first method, the DNA methylation profile of the differentially expres...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Bioinformatics
دوره 18 1 شماره
صفحات -
تاریخ انتشار 2002