Search For:

Displaying 1-6 out of 6 total
Robust RFCM algorithm for identification of co-expressed miRNAs
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Sushmita Paul,Pradipta Maji
Issue Date:October 2012
pp. 1-4
MicroRNAs (miRNAs) are short, endogenous RNAs having ability to regulate gene expression at the post-transcriptional level. Various studies have revealed that miRNAs tend to cluster on chromosomes. Members of a cluster that are at close proximity on chromo...
 
Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm
Found in: Bioinformatics and Biomedicine, IEEE International Conference on
By Pradipta Maji,Sushmita Paul
Issue Date:November 2011
pp. 269-272
Clustering is one of the important analysis in functional genomics that discovers groups of co-expressed genes from micro array data. In this paper, the application of rough-fuzzy c-means (RFCM)algorithm is presented to discover co-expressed gene clusters....
 
Fuzzy Discretization for Rough Set Based Gene Selection Algorithm
Found in: Emerging Applications of Information Technology, International Conference on
By Sushmita Paul, Pradipta Maji
Issue Date:February 2011
pp. 317-320
Selection of reliable genes from micro array gene expression data is essential to carry out a diagnostic test and successful treatment. In this regard, a rough set based gene selection algorithm is developed recently to select genes from micro array data. ...
 
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Pradipta Maji,Sushmita Paul
Issue Date:March 2013
pp. 286-299
Gene expression data clustering is one of the important tasks of functional genomics as it provides a powerful tool for studying functional relationships of genes in a biological process. Identifying coexpressed groups of genes represents the basic challen...
 
Rough sets and support vector machine for selecting differentially expressed miRNAs
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
By Sushmita Paul,Pradipta Maji
Issue Date:October 2012
pp. 864-871
The microRNAs, also known as miRNAs are, the class of small non-coding RNAs that repress the expression of a gene post-transcriptionally. In effect, they regulate expression of a gene or protein. It has been observed that they play an important role in var...
 
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Pradipta Maji, Sushmita Paul
Issue Date:March 2013
pp. 286-299
Gene expression data clustering is one of the important tasks of functional genomics as it provides a powerful tool for studying functional relationships of genes in a biological process. Identifying coexpressed groups of genes represents the basic challen...
     
 1