Analysis of Matched Tumor and Normal Profiles Reveals Common Transcriptional and Epigenetic Signals Shared across Cancer Types
To identify the transcriptional regulatory changes that are most widespread in solid tumors, we performed a pan-cancer analysis using over 600 pairs of tumors and adjacent normal tissues profiled in The Cancer Genome Atlas (TCGA). Frequency of upregulation was calculated across mRNA expression level...
Main Authors: | Gross, Andrew M., Kreisberg, Jason F., Ideker, Trey |
---|---|
Format: | Online |
Language: | English |
Published: |
Public Library of Science
2015
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640835/ |
Similar Items
-
Evidence for a common evolutionary rate in metazoan transcriptional networks
by: Carvunis, Anne-Ruxandra, et al.
Published: (2015) -
Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment
by: Tina Wang, et al.
Published: (2017-03-01) -
Challenges in identifying cancer genes by analysis of exome sequencing data
by: Hofree, Matan, et al.
Published: (2016) -
Common ground in the transcriptional profiles of wounds and tumors
by: Grose, Richard
Published: (2004) -
Network-based stratification of tumor mutations
by: Hofree, Matan, et al.
Published: (2013)