Additional file 14: of Efficient identification of neoantigen-specific T-cell responses in advanced human ovarian cancer
Year: 2019
Type: dataset
Abstract: Table S3. Somatic mutation burdens and predicted neoantigen load in the 20 patients. The predicted neoantigens are classified as expressed or non-expressed based on the mutant alleleâ s expression level in RNAseq data (see Method section). (XLSX 10 kb)
Source: Figshare
Authors: Liu, Song, Matsuzaki, Junko, Wei, Lei, Tsuji, Takemasa, Battaglia, Sebastiano, Hu, Qiang, Cortes, Eduardo, Wong, Laiping, Yan, Li, Long, Mark, Miliotto, Anthony, Bateman, Nicholas, Lele, Shashikant, Chodon, Thinle, Koya, Richard, Yao, Song, Zhu, Qianqian, Conrads, Thomas, Wang, Jianmin, Maxwell, George, Lugade, Amit, Odunsi, Kunle
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4394413103