Variable selection for spatial autoregressive models
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1649428
Abstract: Abstract This paper considers variable selection for spatial autoregressive models based on the minimum prediction error criterion. Firstly, based on an initial consistent estimator, a new loss function is constructed from the perspective of prediction,… read more here.
Keywords: selection spatial; autoregressive models; method; selection ... See more keywords
Predictive and robust gene selection for spatial transcriptomics
Sign Up to like & getrecommendations! Published in 2022 at "Nature Communications"
DOI: 10.1101/2022.05.13.491738
Abstract: Gene selection for spatial transcriptomics is currently not optimal. Here the authors report PERSIST, a flexible deep learning framework that uses existing scRNA-seq data to identify gene targets for spatial transcriptomics; they show this allows… read more here.
Keywords: selection spatial; gene selection; scrna seq; spatial transcriptomics ... See more keywords