Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.

PloS one - 1 Jan 2016

Ganesh Kumar Pugalendhi, Kavitha Muthu Subash, Ahn Byeong-Cheol

Abstract excerpt

This study describes a novel approach to reducing the challenges of highly nonlinear multiclass gene expression values for cancer diagnosis. To build a fruitful system for cancer diagnosis, in this study, we introduced two levels of gene selection such as filtering and embedding for selection of potential genes and the most relevant genes associated with cancer, respectively. The filter procedure was implemented...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Monte Carlo Method

Share to Neoplasms

Share to Oligonucleotide Array Sequence Analysis

Share to Reproducibility of Results

Share to ROC Curve

Source

Open in PubMed Open full text

Identifiers

PMID: 27936033
DOI: 10.1371/journal.pone.0167504
PMCID: PMC5148587

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data.PMID 27936033Read ↗

Integrating Data Mining, Deep Learning, and GeneOntology Analysis for Gene Expression-BasedDisease Diagnosis SystemsSemantic proximity Read ↗

Breast and Colon Cancer Classification from Gene Expression Profiles Using Data Mining TechniquesSemantic proximity Read ↗

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk EstimateSemantic proximity Read ↗

Selecting Feature Subsets Based on SVM-RFE and the Overlapping Ratio with Applications in Bioinformatics.Semantic proximity Read ↗

Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid constructionSemantic proximity Read ↗

Evaluation and Exploration of Machine Learning and CNN Classifiers in Detection of Lung Cancer from Microarray Gene - A Paradigm ShiftSemantic proximity Read ↗

A Survey of Techniques Leveraging miRNA as Biomarkers for Generalized and Type Specific Cancer Diagnosis.Semantic proximity Read ↗

ILRC : A Hybrid Biomarker Discovering Algorithm Based on Improved L1 Regularization and Clustering in Microarray DataSemantic proximity Read ↗

Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clusteringSemantic proximity Read ↗

Expanded and Filtered Features based ELM Model for Thyroid Disease ClassificationSemantic proximity Read ↗

ILRC : A Hybrid Biomarker Discovery Algorithm Based on Improved L1 Regularization and Clustering in Microarray DataSemantic proximity Read ↗

Robust method for identification of prognostic gene signatures from gene expression profiles.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.