GECO: gene expression correlation analysis after genetic algorithm-driven deconvolution
نویسندگان
چکیده
منابع مشابه
The Gene Expression Messy Genetic Algorithm
This paper introduces the gene expression messy genetic algorithm (GEMGA)|a new generation of messy GAs that directly search for relations among the members of the search space. The GEMGA is an O((k (` 2 + k)) sample complexity algorithm for the class of order-k deline-able problems 6] (problems that can be solved by considering no higher than order-k relations). The GEMGA is designed based on ...
متن کاملGene Expression Deconvolution with Single-cell Data
Current in vitro methods for deriving pre-somitic mesoderm have an efficiency of less than 1% indicating an insufficient understanding of mammalian mesodermal differentiation. Here we present an initial look at an approach that augments current digital deconvolution algorithms with single-cell resolution data to derive a better characterization of the transcriptional profiles of cell-types in t...
متن کاملGenetic polymorphism and expression analysis of cMBL gene in Iranian native and commercial chickens
The aims of this study were to compare the promoter sequence of the mannose-binding lectin (cMBL) gene in Iranian native and commercial chicken strains; as well as to compare the cMBL gene expression in crossbred and inbred chickens. In total 79 native (Western Azerbaijan native fowls, WANF) and 49 commercial (Arian Commercial Strain, ACS) birds were reared as parents under same management prac...
متن کاملGlobal Gene Expression Analysis with genetic Programming
Computer-assisted methods have become very important in analyzing biosequence data. However, most of the current methods are limited to nding motifs only. Genes can be regulated in many ways, including combinations of regulatory elements. This research is aimed at combinatorial motif analysis and hypothesis generation. A genome-wide gene expression analysis demonstrated the value of the studies...
متن کاملA Fuzzy Algorithm For Gene Expression Analysis
DNA microarray technology provides biologists with the ability to measure the expression of thousands of genes in a single experiment. A major issue in the analysis of gene expression data concerns the identification of groups of genes that manifest similar expression patterns over several conditions. Clustering is a major issue for inferring biological interactions ; different clustering techn...
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: Bioinformatics
سال: 2018
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty623