Gene expression data mining using self-organizing maps and learning metrics
| dc.contributor | Aalto-yliopisto | fi |
| dc.contributor | Aalto University | en |
| dc.contributor.advisor | Nikkilä, Janne | |
| dc.contributor.author | Oja, Merja | |
| dc.contributor.department | Teknillisen fysiikan ja matematiikan osasto | fi |
| dc.contributor.school | Teknillinen korkeakoulu | fi |
| dc.contributor.school | Helsinki University of Technology | en |
| dc.contributor.supervisor | Kaski, Samuel | |
| dc.date.accessioned | 2020-12-04T15:03:46Z | |
| dc.date.available | 2020-12-04T15:03:46Z | |
| dc.date.issued | 2002 | |
| dc.format.extent | 63 | |
| dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/89911 | |
| dc.identifier.urn | URN:NBN:fi:aalto-2020120448746 | |
| dc.language.iso | fi | en |
| dc.programme.major | Informaatiotekniikka | fi |
| dc.programme.mcode | T-61 | fi |
| dc.rights.accesslevel | closedAccess | |
| dc.subject.keyword | self-organizing maps | en |
| dc.subject.keyword | itseorganisoiva kartta | fi |
| dc.subject.keyword | SOM | en |
| dc.subject.keyword | geeniekspressiodata | fi |
| dc.subject.keyword | gene expression data | en |
| dc.subject.keyword | oppiva metriikka | fi |
| dc.subject.keyword | learning metrics | en |
| dc.subject.keyword | hiiva | fi |
| dc.subject.keyword | yeast | en |
| dc.title | Gene expression data mining using self-organizing maps and learning metrics | en |
| dc.title | Geeniekspressiotiedon louhinta itseorganisoivien karttojen ja oppivien metriikoiden avulla | fi |
| dc.type.okm | G2 Pro gradu, diplomityö | |
| dc.type.ontasot | Master's thesis | en |
| dc.type.ontasot | Pro gradu -tutkielma | fi |
| dc.type.publication | masterThesis | |
| local.aalto.digiauth | ask | |
| local.aalto.digifolder | Aalto_91955 | |
| local.aalto.idinssi | 18726 | |
| local.aalto.inssiarchivenr | 5309 | |
| local.aalto.inssilocation | P1 Ark Aalto | |
| local.aalto.openaccess | no |