Spatial Analysis Made Easy with Linear Regression and Kernels
Sign Up to like & getrecommendations! Published in 2019 at "Epidemics"
DOI: 10.1016/j.epidem.2019.100362
Abstract: Kernel methods are a popular technique for extending linear models to handle non-linear spatial problems via a mapping to an implicit, high-dimensional feature space. While kernel methods are computationally cheaper than an explicit feature mapping,… read more here.
Keywords: regression; easy linear; kernel methods; spatial analysis ... See more keywords
Genomic Analysis Made It Possible to Identify Gene-Driver Alterations Covering the Time Window between Diagnosis of Neuroblastoma 4S and the Progression to Stage 4
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms23126513
Abstract: Neuroblastoma (NB) is a tumor of the developing sympathetic nervous system. Despite recent advances in understanding the complexity of NB, the mechanisms that determine its regression or progression are still largely unknown. Stage 4S NB… read more here.
Keywords: time; analysis made; progression; genomic analysis ... See more keywords