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A transcriptome-based classifier to determine molecular subtypes in medulloblastoma.
Rathi, Komal S; Arif, Sherjeel; Koptyra, Mateusz; Naqvi, Ammar S; Taylor, Deanne M; Storm, Phillip B; Resnick, Adam C; Rokita, Jo Lynne; Raman, Pichai.
Affiliation
  • Rathi KS; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Arif S; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Koptyra M; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Naqvi AS; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Taylor DM; Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Storm PB; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Resnick AC; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Rokita JL; Division of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
  • Raman P; Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.
PLoS Comput Biol ; 16(10): e1008263, 2020 10.
Article in En | MEDLINE | ID: mdl-33119584
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cerebellar Neoplasms / Gene Expression Profiling / Transcriptome / Medulloblastoma Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cerebellar Neoplasms / Gene Expression Profiling / Transcriptome / Medulloblastoma Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2020 Document type: Article Affiliation country: