Gene Expression Profile of Gastric Carcinoma
نویسندگان
چکیده
منابع مشابه
Multivariate Feature Extraction for Prediction of Future Gene Expression Profile
Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...
متن کاملMaspin Gene Expression in Invasive Ductal Carcinoma of Breast
Background: The breast cancer is the most prevalent cancer among women, on the other hand absence of myoepithelial cells play a pivotal role in pathogenesis of this cancer. Thus we aimed to investigate the possible abilities of the molecular assay technique to find a relationship between mammary serine protease inhibitor (Maspin) gene expression possibly secreted by my...
متن کاملLipogenic gene expression profile in patients with gastric cancer
Numerous types of cancer exhibit increased lipogenesis and expression of lipogenic enzymes and transcription factors, including sterol regulatory element-binding protein-1. Lipogenic gene expression is upregulated at the mRNA level, in concert with metabolic pathways associated with changes in expression and/or activity of lipogenic transcription factors. However, this expression pattern in hum...
متن کاملProteomic Analysis of Gene Expression in Basal Cell Carcinoma
Background: Basal Cell Carcinoma (BCC) is a type of non-melanoma skin cancer. Alteration in gene expression is the important event that happens in cancer cell. Detection of this event is possible by proteomics techniques. Methods: Normal and tumor tissues were taken from BCC patient. Total proteins were purified by standard methods, and proteins were separated by two-dimensional electrophoresis...
متن کاملMultivariate Feature Extraction for Prediction of Future Gene Expression Profile
Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...
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: Cancer Research
سال: 2004
ISSN: 0008-5472,1538-7445
DOI: 10.1158/0008-5472.can-03-3514