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Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray
Here, we present a protocol for deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray. We describe steps for utilizing NMF-defined group 3/group 4 metagenes to calculate a continuum score between 0 and 1 that can be proje...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448413/ https://www.ncbi.nlm.nih.gov/pubmed/37573504 http://dx.doi.org/10.1016/j.xpro.2023.102509 |
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author | Hacking, James P.R. Thompson, Dean Schwalbe, Edward C. Clifford, Steven C. Williamson, Daniel |
author_facet | Hacking, James P.R. Thompson, Dean Schwalbe, Edward C. Clifford, Steven C. Williamson, Daniel |
author_sort | Hacking, James P.R. |
collection | PubMed |
description | Here, we present a protocol for deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray. We describe steps for utilizing NMF-defined group 3/group 4 metagenes to calculate a continuum score between 0 and 1 that can be projected onto new sample data analyzed via RNA-sequencing. We then detail procedures for reverse engineering a continuum score for samples analyzed via DNA methylation microarray using a random forest classifier. |
format | Online Article Text |
id | pubmed-10448413 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104484132023-08-25 Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray Hacking, James P.R. Thompson, Dean Schwalbe, Edward C. Clifford, Steven C. Williamson, Daniel STAR Protoc Protocol Here, we present a protocol for deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray. We describe steps for utilizing NMF-defined group 3/group 4 metagenes to calculate a continuum score between 0 and 1 that can be projected onto new sample data analyzed via RNA-sequencing. We then detail procedures for reverse engineering a continuum score for samples analyzed via DNA methylation microarray using a random forest classifier. Elsevier 2023-08-11 /pmc/articles/PMC10448413/ /pubmed/37573504 http://dx.doi.org/10.1016/j.xpro.2023.102509 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Hacking, James P.R. Thompson, Dean Schwalbe, Edward C. Clifford, Steven C. Williamson, Daniel Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title | Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title_full | Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title_fullStr | Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title_full_unstemmed | Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title_short | Deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via RNA-sequencing or DNA methylation microarray |
title_sort | deriving a continuum score for group 3 and 4 medulloblastoma tumor samples analyzed via rna-sequencing or dna methylation microarray |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448413/ https://www.ncbi.nlm.nih.gov/pubmed/37573504 http://dx.doi.org/10.1016/j.xpro.2023.102509 |
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