Article

Simpati: patient classifier identifies signature pathways based on similarity networks for the disease prediction

2021-09-24

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> Pathway-based patient classification is a supervised learning task which implies a model learning pathways as features to predict the classes of patients. The counterpart of enrichment tools for the pathway analysis are fundamental methods for clinicians and biomedical scientists. They allow to find signature cellular functions which help to define and annotate a disease phe...

Topics

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

Identifiers and source

Literature Corpus work: 360571ce-5fe1-5804-b055-b1e455b7f0d0
DOI: 10.1101/2021.09.23.461100

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Simpati: patient classifier identifies signature pathways based on similarity networks for the disease predictionDOI 10.1101/2021.09.23.461100Read

PriPath: Identifying Dysregulated Pathways from Differential Gene Expression via Grouping, Scoring and Modeling with an Embedded Machine Learning ApproachSemantic proximity Read

LAMP: disease classification derived from layered assessment on modules and pathways in the human gene networkSemantic proximity Read

The shortest path is not the one you know: application of biological network resources in precision oncology research.Semantic proximity Read

GPS-Net: discovering prognostic pathway modules based on network regularized kernel learningSemantic proximity Read

Pathway-based biomarker identification with crosstalk analysis for robust prognosis prediction in hepatocellular carcinomaSemantic proximity Read

Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction.Semantic proximity Read

<i>PatientProfiler:</i> A network-based approach to personalized medicineSemantic proximity Read

Similarity identification in gene expression patterns as a new approach in phenotype classificationSemantic proximity Read

netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networksSemantic proximity Read

Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction networkSemantic proximity Read

Topology and redescriptions detect multiple alternative biological pathways from clinical phenotypes.Semantic proximity Read

Network-Based Metric Space for Phenotypic Stratification of Samples Using Transcriptome ProfilesSemantic proximity Read