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Bioinformatics analysis of PDAC subtypes

Authors :
Do Young Hyeon
Dowoon Nam
Youngmin Han
Duk Ki Kim
Gibeom Kim
Daeun Kim
Jingi Bae
Seunghoon Back
Dong-Gi Mun
Inamul Hasan Madar
Hangyeore Lee
Su-Jin Kim
Hokeun Kim
Sangyeop Hyun
Chang Rok Kim
Seon Ah Choi
Yong Ryoul Kim
Juhee Jeong
Suwan Jeon
Yeon Woong Choo
Kyung Bun Lee
Wooil Kwon
Seunghyuk Choi
Taewan Goo
Taesung Park
Young-Ah Suh
Hongbeom Kim
Ja-Lok Ku
Min-Sik Kim
Eunok Paek
Daechan Park
Keehoon Jung
Sung Hee Baek
Jin-Young Jang
Daehee Hwang
Sang-Won Lee
Publication Year :
2023
Publisher :
Research Square Platform LLC, 2023.

Abstract

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for bioinformatics analysis of PDAC subtypes, including tumour purity estimation, subtype prediction for tumour samples in previous cohorts, pathway enrichment analysis, kinase activity analysis, and pan-omics analysis.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........b3947ac552e47b0fec0b5ea4713c28fe
Full Text :
https://doi.org/10.21203/rs.3.pex-2064/v1