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A complete statistical model for calibration of RNA-seq counts using external spike-ins and maximum likelihood theory.
Athanasiadou, Rodoniki; Neymotin, Benjamin; Brandt, Nathan; Wang, Wei; Christiaen, Lionel; Gresham, David; Tranchina, Daniel.
  • Athanasiadou R; Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, United States of America.
  • Neymotin B; Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, United States of America.
  • Brandt N; Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, United States of America.
  • Wang W; Center for Developmental Genetics, Department of Biology, New York University, New York, New York, United States of America.
  • Christiaen L; Center for Developmental Genetics, Department of Biology, New York University, New York, New York, United States of America.
  • Gresham D; Center for Genomics and Systems Biology, Department of Biology, New York University, New York, New York, United States of America.
  • Tranchina D; Department of Biology, New York University, New York, New York, United States of America.
PLoS Comput Biol ; 15(3): e1006794, 2019 03.
Article en En | MEDLINE | ID: mdl-30856174
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Funciones de Verosimilitud / Modelos Estadísticos / Análisis de Secuencia de ARN Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Funciones de Verosimilitud / Modelos Estadísticos / Análisis de Secuencia de ARN Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Año: 2019 Tipo del documento: Article