Applications of single-cell and bulk RNA sequencing in onco-immunology
Maria Kuksin,Daphné Morel,Marine Aglave,François-Xavier Danlos,Aurélien Marabelle,Andrei Zinovyev,Daniel Gautheret,Loic Verlingue +7 more
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TL;DR: This review provides an overview of the major principles of single-cell and conventional (bulk) RNA-seq applied to onco-immunology and gives examples of machine and deep learning models used to predict patient outcomes and treatment effect from high-dimensional data.
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About: This article is published in European Journal of Cancer. The article was published on 15 Apr 2021. and is currently open access.
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123
A guide for the diagnosis of rare and undiagnosed disease: beyond the exome
TL;DR: In this article , the authors focus on technologies that can be adopted if exome sequencing is unrevealing and discuss the benefits of sequencing the whole genome and the additional benefit that may be offered by long-read technology, pan-genome reference, transcriptomics, metabolomics, proteomics and methyl profiling.
Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer
Siyu Guo,Xinkui Liu,Jingyuan Zhang,Zhihong Huang,Peizhi Ye,Jian Shi,Antony Stalin,Chao Wu,Shanshan Lu,Fanqin Zhang,Xiaoyu Tao,Jiaqi Huang,Yiyan Zhai,Rui Shi,Fengying Guo,Wei Zhou,Jiarui Wu +16 more
TL;DR: Wang et al. as mentioned in this paper used scRNA-seq data of triple negative breast cancer (TNBC) from the GEO database to analyze and identify the T-cell heterogeneity of TNBC.
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A Personalized Genomics Approach of the Prostate Cancer.
Sanda Iacobas,Dumitru A. Iacobas +1 more
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