The analysis of microarray data is essential for large amounts of gene expression data. In
this review we focus on clustering techniques. The biological rationale for this approach is …

Identifying groups of similar objects is a popular first step in biomedical data analysis, but it
is error-prone and impossible to perform manually. Many computational methods have been …

Abstract The DIURNAL project (http://diurnal. cgrb. oregonstate. edu/) provides a graphical
interface for mining and viewing diurnal and circadian microarray data for Arabidopsis …

Plastids contain multiple copies of the plastid chromosome, folded together with proteins
and RNA into nucleoids. The degree to which components of the plastid gene expression …

C4 grasses, such as maize (Zea mays), have high photosynthetic efficiency through
combined biochemical and structural adaptations. C4 photosynthesis is established along …

Many insects are nutritionally dependent on symbiotic microorganisms that have tiny
genomes and are housed in specialized host cells called bacteriocytes. The obligate …

Differentiation of oligodendrocyte progenitor cells (OPCs) into mature oligodendrocytes
requires extensive changes in gene expression, which are partly mediated by post …

Background. Microarray transcript analysis of human renal transplantation biopsies has
successfully identified the many patterns of graft rejection. To evaluate an alternative, this …

Recent methodological debates in sociology have focused on how data and analyses might
be made more open and accessible, how the process of theorizing and knowledge …

This paper proposes a hybrid forecasting system that combines linear models and multilayer
neural networks to forecast hourly temperatures based on the past observed temperatures …