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

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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Bibliographic Details
Main Authors: Dashnamoorthy Ravi, Afshin Beheshti, Kristine Burgess, Athena Kritharis, Ying Chen, Andrew M. Evens, Biju Parekkadan
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Biomedicines
Subjects:
tumor progression
transcriptomics
biological trajectory
lymphoma
leukemia
solid tumors
Online Access:https://www.mdpi.com/2227-9059/10/11/2720

Internet

https://www.mdpi.com/2227-9059/10/11/2720

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