Identifying latent structure in large data matrices is essential for exploring biological processes. Here, we consider recovering gene co-expression networks from gene expression data, where each network encodes relationships between genes that are locally co-regulated by shared biological mechanisms. To do this, we develop a Bayesian statistical model for biclustering to infer subsets of co-re...

in this paper, we present some inequalities for the co-pi index involving the some topological indices, the number of vertices and edges, and the maximum degree. after that, we give a result for trees. in addition, we give some inequalities for the largest eigenvalue of the co-pi matrix of g.

in this paper, we introduce the notion of primal strong co-ideals and give some results involving them. it is shown thatsubtractive strong co-ideals are intersection of all primal strong co-ideals that contain them. also we prove that the representation of strong co-ideals as reduced intersections of primal strong co-ideals is unique.

conclusions in the present study, we identified a key gene rps16 and a significant module involved in ribosome biogenesis in eukaryotes that were related to neonatal sepsis, which might be potential biomarkers for early detection and therapy for neonatal sepsis. background the exact interacting factor that response to the infection for neonatal sepsis is still needed to urgently to be disclosed...

abstract alzheimer’s disease (ad) is the most common form of dementia has become one of the most severe progressive socio-economical and medical burdens facing countries all over the world. the drugs are currently available just able to delay the symptom progression of disease. this study try to evaluate protein profile of the effects of aqueous extract of lavender ( lavandula angustifolia ) on...