Special Issue Article Open Access

Detection of Cancer Using Biclustering

Abstract

Cancer is one of the common diseases occurring among the people all over the world. It can be due to various reasons such as different habitats, environmental disorders etc. Cancer being detected at early stages can save millions, if effective treatment is provided. It can cause damage to any part of body. One of the means to detect cancer is Biclustering algorithm, which is not an accurate method as only one row and column can be segmented simultaneously. Clustering and biclustering methods are the primary techniques involved in analyzing gene expression data which include grouping of genes, classification of genes and classification of a sample. Apart from classical clustering methods, biclustering is being preferred to analyze biological datasets, due to its ability to group both genes across conditions simultaneously. Furthermore, the probability of the cancer is identified and its type i.e. benign, suspicious or malignant.

Sayana Sunny, M.Pratheba

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