Biclustering of Time Series Microarray Data
Clustering is a popular data exploration technique widely used in microarray data analysis. In this chapter, we review ideas and algorithms of bicluster and its applications in time series microarray analysis. We introduce first the concept and importance of biclustering and its different variations. We then focus our discussion on the popular iterative signature algorithm (ISA) for searching biclusters in microarray dataset. Next, we discuss in detail the enrichment constraint time-dependent ISA (ECTDISA) for identifying biologically meaningful temporal transcription modules from time series microarray dataset. In the end, we provide an example of ECTDISA application to time series microarray data of Kaposi’s Sarcoma-associated Herpesvirus (KSHV) infection.
- 促肾上腺皮质激素 adrenocorticotropichormone,corticotropin
- 肛节anal segment
- Enhanced Sampling Algorithms
- 根丝体 rhizoplast
- Online Resources for the Molecular Contextualization of Disease
- 肠激酶 enterokinase
- Caged Substrates Applied to High Content Screening: An Introduction With an Eye to the Future
- 组成酶 constitutive enzyme
- 侧抑制 lateral inhibition
- 氧化发酵 oxidative fermentation