Article

RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq Data

2024-11-03

Abstract excerpt

<h4>ABSTRACT</h4> Transcriptome sequencing (RNA-seq) is widely used in cancer research to study the transcriptome and its role in disease progression. Somatic copy number aberrations (SCNAs) are key drivers of cancer development, and inferring SCNAs from RNA-seq data can provide critical insights for disease classification and treatment prediction. We introduce RCANE, a deep learning-based method designed to pred...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2fe9f92a-e45d-569c-8117-96b482f56624
DOI: 10.1101/2024.11.03.621681

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq DataDOI 10.1101/2024.11.03.621681Read

Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.Semantic proximity Read

ClinCNV: novel method for allele-specific somatic copy-number alterations detectionSemantic proximity Read

DeepCNA: an explainable deep learning method for cancer diagnosis and cancer-specific patterns of copy number aberrationsSemantic proximity Read

CNAPE: A Machine Learning Method for Copy Number Alteration Prediction from Gene ExpressionSemantic proximity Read

araCNA: Somatic copy number profiling using long-range sequence modelsSemantic proximity Read

Wakhan: reconstruction of chromosome-scale copy number profiles of tumor genomes with long-read sequencingSemantic proximity Read

CloneCNA: detecting subclonal somatic copy number alterations in heterogeneous tumor samples from whole-exome sequencing data.Semantic proximity Read

The Tangent copy-number inference pipeline for cancer genome analysesSemantic proximity Read

Reliable analysis of clinical tumor-only whole exome sequencing dataSemantic proximity Read

CNAttention: an attention-based deep multiple-instance method for uncovering CNA signatures across cancersSemantic proximity Read

CNApp, a tool for the quantification of copy number alterations and integrative analysis revealing clinical implications.Semantic proximity Read

DeepSomatic: Accurate somatic small variant discovery for multiple sequencing technologiesSemantic proximity Read