Nature

Navigating gene expression using microarrays — a technology review

The use of microarrays to analyse gene expression on a global level has recently received a great deal of attention. There has been much speculation about the power of this approach in the analysis of ...
IEEE

Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans ...

Abstract: In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix factorization (NMF), spectral ...
Nature

Bioinformatics in the post-sequence era

The exponential growth in molecular sequence data started in the early 1980s when methods for DNA sequencing became widely available. The data were accumulated in databases such as GenBank, EMBL ...
IEEE

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data

Abstract: Analysis of high dimensional biomedical data such as microarray gene expression data and mass spectrometry images, is crucial to provide better medical services including cancer subtyping, ...