Читать книгу Data Analytics in Bioinformatics - Группа авторов - Страница 57

This chapter provides an overview of unsupervised learning algorithms and approaches used in the field of bioinformatics for the exploration of gene expression data. The chapter provide insights about various clustering algorithms used in the field of bioinformatics. These algorithms when applied on gene expression data helps in building gene expression profiling in which co expressed genes are clustered together that exhibits similar cell function, identification of gene homology which aids researchers in drug discovery based on the diseased targets using the microarray analyses. These clustering algorithms also comprehend the genetic data in studying about gene functions, identifying sub types of cells which assist in diseased target identification.