Back to search

Article

Identification By Genetic Algorithm Optimized Back Propagation Artificial Neural Network and Validation of A Four-Gene Signature for Diagnosis and Prognosis of Pancreatic Cancer

2021-02-08

Abstract excerpt

<h4>Background: </h4> Although some improvements in the management of pancreatic cancer (PC) have been made, no major breakthroughs in terms of biomarker discovery or effective treatment have emerged. Here, we applied artificial intelligence (AI)-based methods to develop a model to diagnose PC and predict survival outcome. <h4>Methods: </h4>: Multiple bioinformatics methods, including RankProd, were performed to i...

Topics

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

Identifiers and source

Literature Corpus work
17e1d0f4-67b0-545a-bfc9-4aa699ce5268
DOI
10.21203/rs.3.rs-151851/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification By Genetic Algorithm Optimized Back Propagation Artificial Neural Network and Validation of A Four-Gene Signature for Diagnosis and Prognosis of Pancreatic CancerDOI 10.21203/rs.3.rs-151851/v1
Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancerSemantic proximity
PDAC-ANN: an artificial neural network to predict Pancreatic Ductal Adenocarcinoma based on gene expressionSemantic proximity
Development and clinical validation of A Novel 9-gene prognostic biomarkers based on multi-omics in pancreatic adenocarcinomaSemantic proximity
Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathwaySemantic proximity
Machine learning identifies SLC6A14 as a novel biomarker promoting the proliferation and metastasis of pancreatic cancer via Wnt/β-catenin signalingSemantic proximity
A Neural Network Model to Screen Feature Genes for Pancreatic CancerSemantic proximity
Development and validation of two nomograms to predict prognostic factors for patients with pancreatic cancer: A population-based retrospective studySemantic proximity
PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expressionSemantic proximity
Identification of Prognosis-Related Genes and Key Target Genes for Pancreatic cancer : A Bioinformatics AnalysisSemantic proximity
Development and clinical validation of a novel 9-gene prognostic model based on multi-omics in pancreatic adenocarcinoma.Semantic proximity
Development of a 12-biomarkers-based prognostic model for pancreatic cancer using multi-omics integrated analysis.Semantic proximity
Identification of novel candidate biomarkers and efficacious small molecule drugs for pancreatic adenocarcinoma based on comprehensive bioinformatics technologySemantic proximity
Select a neighboring publication to make it the new centre.