A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples.

Li, Huamei; Sharma, Amit; Ming, Wenglong; Sun, Xiao; Liu, Hongde

Li, Huamei; Sharma, Amit; Ming, Wenglong; Sun, Xiao; Liu, Hongde.

Afiliação

Li H; State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China.
Sharma A; Department of Ophthalmology, University Hospital Bonn, 53127, Bonn, Germany.
Ming W; State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China.
Sun X; State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China. xsun@seu.edu.cn.
Liu H; State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 210096, China. liuhongde@seu.edu.cn.

BMC Genomics ; 21(1): 652, 2020 Sep 23.

Article em En | MEDLINE | ID: mdl-32967610

Assuntos

Biomarcadores Tumorais/genética; Leucemia Mieloide Aguda/genética; Células Progenitoras Mieloides/classificação; Software; Humanos; Leucemia Mieloide Aguda/classificação; Leucemia Mieloide Aguda/patologia; Células Progenitoras Mieloides/metabolismo; Células Progenitoras Mieloides/patologia

Palavras-chave

Acute myeloid leukemia; Cellular fractions; Deconvolution; Diagnosis; Marker genes; Prognostic; Subgroups

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Leucemia Mieloide Aguda / Biomarcadores Tumorais / Células Progenitoras Mieloides Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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