An Analysis of Transcriptomic Burden Identifies Biological Progression Roadmaps for Hematological Malignancies and Solid Tumors

Biological paths of tumor progression are difficult to predict without time-series data. Using median shift and abacus transformation in the analysis of RNA sequencing data sets, natural patient stratifications were found based on their transcriptomic burden (TcB). Using gene-behavior analysis, TcB...

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Detalles Bibliográficos
Autores principales: Ravi, Dashnamoorthy, Beheshti, Afshin, Burgess, Kristine, Kritharis, Athena, Chen, Ying, Evens, Andrew M., Parekkadan, Biju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687799/
https://www.ncbi.nlm.nih.gov/pubmed/36359241
http://dx.doi.org/10.3390/biomedicines10112720

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687799/
https://www.ncbi.nlm.nih.gov/pubmed/36359241
http://dx.doi.org/10.3390/biomedicines10112720

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