R/BHC: FAST BAYESIAN HIERARCHICAL CLUSTERING FOR MICROARRAY DATA

R/BHC: fast Bayesian hierarchical clustering for microarray data

Abstract Background Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained.Results We present an R/Bioconductor port of a fast novel algorithm for Bayesian agglomerative

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Transferrin Receptor Functionally Marks Thermogenic Adipocytes

BackgroundThermogenic adipocytes, including beige and brown adipocytes, are critical for thermogenesis and energy homeostasis.Identification of functional cell surface markers of thermogenic adipocytes is of significance for potential application in biological and clinical practices.MethodsWith a combination of canine spectra kc 3 intranasal single

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On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments

Abstract The necessity for explainability of artificial intelligence technologies in medical applications has been widely discussed and heavily debated within the literature.This paper turbo air m3f24-1 comprises a systematized review of the arguments supporting and opposing this purported necessity.Both sides of the debate within the literature ar

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