Back to search

Article

Machine learning predicts metastatic progression using novel differentially expressed lncRNAs as potential markers in pancreatic cancer

2023-11-03

Abstract excerpt

<h4> Abstract </h4> Pancreatic cancer (PC) is associated with high mortality overall. Recent literature has focused on investigating long noncoding RNAs (lncRNAs) in several cancers, but studies on their functions in PC are lacking. The purpose of this study was to identify novel lncRNAs and utilize machine learning to techniques to predict metastatic cases of PC using the identified lncRNAs. To identify significa...

Topics

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

Identifiers and source

Literature Corpus work
eb29160a-11fa-5fd9-a138-decd8ef147fe
DOI
10.1101/2023.11.01.23297724
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.
Machine learning predicts metastatic progression using novel differentially expressed lncRNAs as potential markers in pancreatic cancerDOI 10.1101/2023.11.01.23297724
Identification of EMT-Related lncRNAs as a Potential Prognostic Biomarker and Therapeutic Targets for Pancreatic AdenocarcinomaSemantic proximity
Establishment of a prognostic signature for pancreatic cancer using immune checkpoint-related lncRNAsSemantic proximity
Construction of a Novel Risk Model Based on the Random Forest Algorithm to Distinguish Pancreatic Cancers with Different Prognoses and Immune Microenvironment FeaturesSemantic proximity
Identification of autophagy-related immune targets for enhancing immunotherapy in pancreatic cancer aggressivenessSemantic proximity
A Novel Aging-Related lncRNAs Signature-Based Model for Prognosis Prediction in Pancreatic CancerSemantic proximity
Identification and Validation of Constructing the Prognostic Model With Four DNA Methylation-Driven Genes in Pancreatic CancerSemantic proximity
Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancerSemantic proximity
A novel aging-associated lncRNA prognostic signature for predicting immunotherapy and chemotherapy response in pancreatic cancerSemantic proximity
Prognostic Value of Drug Targets Predicted using Deep Bioinformatic Analysis of M6A-associated lncRNA-based Pancreatic Cancer Model Characteristics and its Tumour MicroenvironmentSemantic proximity
RUNX2 and LAMC2: promising pancreatic cancer biomarkers identified by an integrative data mining of pancreatic adenocarcinoma tissuesSemantic proximity
N6-methyladenosine-related long noncoding RNA is a potential biomarker for predicting pancreatic cancer prognosisSemantic proximity
An Integrative Data Mining for the Identification and Validation of Oncogenic Biomarkers in Pancreatic CarcinomaSemantic proximity
Select a neighboring publication to make it the new centre.