Clustering Techniques Analysis for Microarray Data

Download Now
Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Big Data
Format: PDF
Microarray data is gene expression data which consists of the protein level of various genes for some samples. It is a high dimensional data. High dimensionality is a curse for the analysis of gene expression data. Thus gene selection process is used in which most informative genes are selected from the pool of gene expression data set. All the genes are not relevant in each case. First the authors need to select those genes which are relevant as well as there should be least redundancy among them. For this purpose various approaches can be used such as: Filter methods, wrapper methods, embedded approach and clustering.
Download Now

Find By Topic