Gaussian process modeling of gene expression time series from multi-condition paired experimental design
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Lähdesmäki, Harri | |
dc.contributor.author | Vantini, Michele | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Lähdesmäki, Harri | |
dc.date.accessioned | 2020-12-20T18:00:35Z | |
dc.date.available | 2020-12-20T18:00:35Z | |
dc.date.issued | 2020-12-14 | |
dc.format.extent | 4+61 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/97487 | |
dc.identifier.urn | URN:NBN:fi:aalto-2020122056314 | |
dc.language.iso | en | en |
dc.programme | Master’s Programme in Computer, Communication and Information Sciences | fi |
dc.programme.major | Machine Learning and Data Mining | fi |
dc.programme.mcode | SCI3044 | fi |
dc.subject.keyword | Gaussian processes | en |
dc.subject.keyword | gene expression time series | en |
dc.subject.keyword | pairing effect | en |
dc.subject.keyword | differential condition analysis | en |
dc.title | Gaussian process modeling of gene expression time series from multi-condition paired experimental design | en |
dc.type | G2 Pro gradu, diplomityö | fi |
dc.type.ontasot | Master's thesis | en |
dc.type.ontasot | Diplomityö | fi |
local.aalto.electroniconly | yes | |
local.aalto.openaccess | no |