Publications by authors named "Hasin Afzal Ahmed"

Article Synopsis
  • The existence of various correlations among biologically significant genes complicates gene expression data analysis, prompting researchers to explore beyond traditional methods.
  • The study introduces a new correlation measure called Shifting and Scaling Similarity (SSSim), which helps identify highly correlated gene pairs in expression data.
  • An innovative technique, the Intensive Correlation Search (ICS) biclustering algorithm, utilizes SSSim to reveal functionally significant groups of genes, demonstrating good performance with benchmark datasets.
View Article and Find Full Text PDF

Construction of co-expression network and extraction of network modules have been an appealing area of bioinformatics research. This article presents a co-expression network construction and a biologically relevant network module extraction technique based on fuzzy set theoretic approach. The technique is able to handle both positive and negative correlations among genes.

View Article and Find Full Text PDF