Psychiatric disorders show high rates of comorbidity and nonspecificity of presenting clinical
symptoms, while demonstrating substantial heterogeneity within diagnostic categories …

Biclustering methods simultaneously group samples and their associated features. In this
way, biclustering methods differ from traditional clustering methods, which utilize the entire …

Background Bipolar Disorder (BD) is a complex disease. It is heterogeneous, both at the
phenotypic and genetic level, although the extent and impact of this heterogeneity is not fully …

Background: Alzheimer's disease (AD) exhibits considerable phenotypic heterogeneity,
suggesting the potential existence of subtypes. AD is under substantial genetic influence …

Alzheimer's disease (AD) has a complex and multifactorial etiology. It is under significant
genetic influence, thus identifying systematic variation in genetic risk represents a potentially …

Many traditional methods for analyzing gene-gene relationships focus on positive and
negative correlations, both of which are a kind of 'symmetric'relationship. Biclustering is one …

Causal interactions and correlations between clinically-relevant biomarkers are important to
understand, both for informing potential medical interventions as well as predicting the likely …

A core focus of statistics is determining how much of the variation in data may be attributed
to the signal of interest, and how much to noise. When the sources of variation are many and …