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Using singscore to predict mutation status in acute myeloid leukemia from transcriptomic signatures.
Bhuva, Dharmesh D; Foroutan, Momeneh; Xie, Yi; Lyu, Ruqian; Cursons, Joseph; Davis, Melissa J.
  • Bhuva DD; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
  • Foroutan M; School of Mathematics and Statistics, University of Melbourne, Parkville, VIC, 3010, Australia.
  • Xie Y; Department of Clinical Pathology, The University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, 3000, Australia.
  • Lyu R; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
  • Cursons J; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
  • Davis MJ; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
F1000Res ; 8: 776, 2019.
Article en En | MEDLINE | ID: mdl-31723419
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Leucemia Mieloide Aguda / Transcriptoma / Mutación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Leucemia Mieloide Aguda / Transcriptoma / Mutación Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article