Abstract Single-cell RNA-seq (scRNA-seq) provides a comprehensive measurement of stochasticity in transcription, but the limitations of the technology have prevented its application to dissect variability in RNA processing events such as splicing.Here, we present BRIE (Bayesian regression for isoform estimation), a Bayesian hierarchical Mountaineer
Carmen Almansa,1 Christopher S Frampton,2 José Miguel Vela,1 Steve Whitelock,3 Carlos R Plata-Salamán4 1Esteve Pharmaceuticals, S.A., Parc Cientific Barcelona, Barcelona 08028, Spain; 2Rbar3 Ltd, Cambridge, UK; 3Mundipharma Research Ltd, Cambridge, UK; 4Esteve Pharmaceuticals, S.A., Torre Esteve, Barcelona 08038, S
In this article, we consider a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set.To address the challenge, we propose to use a transfer learning approach Hair loss concealer whereby the model is first trained on a synthetic dataset replicating features of the origi
The efficiency of vector-valued intensity measures for predicting the seismic demand in gravity dams is investigated.The Folsom gravity dam-reservoir coupled system is selected NUTRIFIER CONDITIONER and numerically analyzed under a set of two-hundred actual ground motions.First, the well-defined scalar IMs are separately investigated, and then they
Dominant mutations in a Cu, Zn-superoxide dismutase (SOD1) gene cause a familial form of amyotrophic APP CONTROLLED lateral sclerosis (ALS).While it remains controversial how SOD1 mutations lead to onset and progression of the disease, many in vitro and in vivo studies have supported a gain-of-toxicity mechanism where pathogenic mutations contribut