lnCaNet: pan-cancer co-expression network for human lncRNA and cancer genes

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Co-expression Network Analysis of Human lncRNAs and Cancer Genes

We used gene co-expression network analysis to functionally annotate long noncoding RNAs (lncRNAs) and identify their potential cancer associations. The integrated microarray data set from our previous study was used to extract the expression profiles of 1,865 lncRNAs. Known cancer genes were compiled from the Catalogue of Somatic Mutations in Cancer and UniProt databases. Co-expression analysi...

متن کامل

Identification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis

Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...

متن کامل

piwil2 and pl2l60 (cancer/testis genes) expression in breast cancer

background: cancer/testis antigens (ctas) are members of a group of proteins which are normally expressed in testis germ cells and to a lesser extent in the ovaries. because of recent reports about their aberrant and specific expression in some tumoral tissues, they may play a role as new candidates for targeted therapy. therefore, the study of the expression pattern of these biomarkers and its...

متن کامل

Classification and Biomarker Genes Selection for Cancer Gene Expression Data Using Random Forest

Background & objective: Microarray and next generation sequencing (NGS) data are the important sources to find helpful molecular patterns. Also, the great number of gene expression data increases the challenge of how to identify the biomarkers associated with cancer. The random forest (RF) is used to effectively analyze the problems of large-p and smal...

متن کامل

LncRNA expression profiles reveal the co-expression network in human colorectal carcinoma

Colorectal carcinoma (CRC) is the most common cancer of the gastrointestinal tract with high prevalence, and the poor prognosis of this disease lead to the high mortality rates. The aim of this study was to characterize the mechanism of CRC tumorgenesis and progression, and to screen the potential biomarker for CRC diagnosis. Expression profiles of mRNA and LncRNA of CRC tumor samples and it pa...

متن کامل

ذخیره 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: Bioinformatics

سال: 2016

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btw017