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

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.

Computational biology and chemistry - 1 Jun 2021

Jha Preeti, Tiwari Aruna, Bharill Neha, Ratnaparkhe Milind, Mounika Mukkamalla, Nagendra Neha

Abstract excerpt

This paper introduces a kernel based fuzzy clustering approach to deal with the non-linear separable problems by applying kernel Radial Basis Functions (RBF) which maps the input data space non-linearly into a high-dimensional feature space. Discovering clusters in the high-dimensional genomics data is extremely challenging for the bioinformatics researchers for genome analysis. To support the investigations in...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Cluster Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computational Biology

Share to Databases, Genetic

Share to Polymorphism, Single Nucleotide

Source

Identifiers

PMID: 33684695
DOI: 10.1016/j.compbiolchem.2021.107454

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.PMID 33684695Read ↗

A Preliminary Study on the Effectiveness of K-Nearest Neighbor Algorithm Based on Local Mean for Classification of Bioinformatics Data.Semantic proximity Read ↗

NCMHap: a novel method for haplotype reconstruction based on Neutrosophic c-means clustering.Semantic proximity Read ↗

NCMHap: A novel method for haplotype reconstruction based on Neutrosophic c-means clusteringSemantic proximity Read ↗

SVMs-SKSM: Protein Function Multi-label Classification based on SVM-SVM classifiers Fusion and sequences kernel similarity matrixSemantic proximity Read ↗

A Fast and Scalable Workflow for SNPs Detection in Genome Sequences Using Hadoop Map-Reduce.Semantic proximity Read ↗

A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.Semantic proximity Read ↗

A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-causing genes using type-2 fuzzy data fusionSemantic proximity Read ↗

Research on Cloud Infrastructure for Large-Scale Parallel Computing in Genetic DiseaseSemantic proximity Read ↗

Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging.Semantic proximity Read ↗

Informative SNP Selection Based on a Fuzzy Clustering and Improved Binary Particle Swarm Optimization Algorithm.Semantic proximity Read ↗

High throughput computing to improve efficiency of predicting protein stability change upon mutation.Semantic proximity Read ↗

Multi-Level DBSCAN: A Hierarchical Density-Based Clustering Method for Analyzing Molecular Dynamics Simulation TrajectoriesSemantic proximity Read ↗

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