Gene Screening and Clustering of Yeast Microarray Gene Expression Data

نویسندگان
چکیده

برای دانلود رایگان 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

Assessing agreement of clustering methods with gene expression microarray data

In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face the choice of which clustering algorithm(s) to use and how to interpret different results from the various clustering algorithms. No clear objective criteria have been developed to assess the agreement and compare the...

متن کامل

Clustering analysis of microarray gene expression data by splitting algorithm

Preprint submitted to Elsevier Science 29 April 2003 A clustering method based on recursive bisection is introduced for analyzing microarray gene expression data. Either or both dimensions for the genes and the samples of a given microarray dataset can be classi£ed in an unsupervised fashion. Alternatively, if certain prior knowledge of the genes or samples is available, a supervised version of...

متن کامل

Consensus clustering of gene expression microarray data using genetic algorithms

This work presents a new consensus clustering method for gene expression microarray data based on a genetic algorithm. Using two datasets – DA and DB – as input, the genetic algorithm examines putative partitions for the samples in DA, selecting biomarkers that support such partitions. The biomarkers are then used to build a classifier which is used in DB to determine its samples classes. The g...

متن کامل

Comparative Study of Clustering Techniques for Gene Expression Microarray Data

Scientists can now monitor on a genomic scale the patterns of gene expression under varying environmental conditions. With this rapidly growing wealth of information comes the need for organizing and analyzing the data. One natural approach is to group together genes with similar patterns of expression. Several approaches have suggested various alternatives for similarity metrics and clustering...

متن کامل

Data Complexity in Clustering Analysis of Gene Microarray Expression Profiles

The increasing application of microarray technology is generating large amounts of high dimensional gene expression data. Genes participating in the same biological process tend to have similar expression patterns, and clustering is one of the most useful and efficient methods for identifying these patterns. Due to the complexity of microarray profiles, there are some limitations in directly ap...

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: Korean Journal of Applied Statistics

سال: 2011

ISSN: 1225-066X

DOI: 10.5351/kjas.2011.24.6.1077