AN EFFICIENT AND ACCURATE DISTRIBUTED LEARNING ALGORITHM FOR MODELING MULTI-SITE ZERO-INFLATED COUNT OUTCOMES

An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Abstract Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare outcomes and increasing generalizability of results.While CRNs encourage sharing aggregate data across healthcare systems, individual systems within CRNs often cannot share patient-level

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Prediction of endoplasmic reticulum resident proteins using fragmented amino acid composition and support vector machine

Background The endoplasmic reticulum plays an important role in many cellular processes, which includes protein synthesis, folding and post-translational processing of newly synthesized proteins.It is also the site for quality control of misfolded proteins and entry point of extracellular proteins to the secretory pathway.Hence at any given point o

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