<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Evolutionary Analysis</dc:title>
  <dc:title>R package spathial version 0.1.2</dc:title>
  <dc:description>A generic tool for manifold analysis. It allows to infer a relevant transition or evolutionary path which can highlights the features involved in a specific process. 'spathial' can be useful in all the scenarios where the temporal (or pseudo-temporal) evolution is the main problem (e.g. tumor progression). The algorithm for finding the principal path is described in: Ferrarotti et al., (2019) &lt;doi:10.1109/TNNLS.2018.2884792&gt;."</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: pracma, igraph, matrixStats, MASS, Rtsne, class, utils, knitr,
rmarkdown, irlba</dc:relation>
  <dc:creator>Erika Gardini &lt;erika.gardini4@unibo.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Erika Gardini [aut, cre],
  Federico M. Giorgi [aut],
  Sergio Decherchi [aut],
  Andrea Cavalli [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-04-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=spathial</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.spathial</dc:identifier>
</oai_dc:dc>
