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Updated: Jun 19, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
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基于深度学习的代表方法对大量RNA-seq数据的生存和基因基本性预测进行了强有力的评估

Baptiste Gross1, Antonin Dauvin2, Vincent Cabeli2

  • 1Owkin, Inc., New York, NY, USA. baptiste.gross@owkin.com.

Scientific reports
|July 24, 2024
PubMed
概括

深度学习 (DL) 模型提供了强大的癌症RNA-seq数据表示. 严格的评估准则至关重要,因为性能因任务和模型设计而异,影响生存和基因基本性预测.

关键词:
基准测试 (benchmarking) 是一种比较的方法.深度学习是一种深度学习.基因的基本性 基因的基本性在RNAseqqq中使用.代表性的学习学习.预测生存的预测.

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相关概念视频

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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