Transcriptomic data analysis of TCGA-STAD cohort.
- Dipjit Basak (11261871)
- Zarqua Jamal (11261874)
- Arnab Ghosh (1602067)
- Pronoy Kanti Mondal (11261877)
- Priyanka Dey Talukdar (11261880)
- Semanti Ghosh (8699784)
- Biswadeep Ghosh Roy (11261883)
- Ranajoy Ghosh (11261886)
- Aniket Halder (11261889)
- Abhijit Chowdhury (310101)
- Gopal Krishna Dhali (9193416)
- Bitan Kumar Chattopadhyay (11261892)
- Makhan Lal Saha (11261895)
- Abhimanyu Basu (11261898)
- Sukanta Roy (599881)
- Chitranjan Mukherjee (11261901)
- Nidhan Kumar Biswas (11261904)
- Urmi Chatterji (1873399)
- Shalini Datta (11261907)
Publication date
August 2021
DOI Publisher
Public Library of Science (PLoS)Abstract
(A) Reactome Analysis of genes that showed stage-wise upregulation in GC on TCGA-STAD data. (B, C) The differential expression between tumor and adjacent normal tissues for ASPN (B) and DCN (C) across all TCGA tumors. Distributions of gene expression levels are displayed using box plots. The statistical significance computed by differential analysis (edgeR) on RNA-Seq raw counts is annotated by *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001. Up-regulated or down-regulated in the tumors compared to normal tissues for each cancer type are displayed in grey columns when normal data are available.</p
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