FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367360274> ?p ?o ?g. }

• W4367360274 endingPage "427" @default.
• W4367360274 startingPage "411" @default.
• W4367360274 abstract "A single nucleotide polymorphism (SNP) is a DNA sequence variation in a population. SNP is just a single nucleotide difference in the genome. Many statistical methods have been proposed to predict the racial classification of individuals based on SNP genetic data. The selection of the right classification method is very important because it will determine the accuracy of the classification results. This research aims to identify the highest average accuracy between two popular classification methods in Machine Learning (ML), including K-Nearest Neighborhood (KNN) and Support Vector Machine (SVM). This study used SNP genetic data for 120 samples from 2 CEU-European races and Yoruba-African races, where for each sample 10 SNPs were selected with the same location identity. The experiment was carried out by testing each classification method with variations in the percentage of test data 10, 20, 30, 40 and 50, which was combined with Euclidean distance for the KNN classification method. Based on the results of the study, the accuracy of the prediction of the classification of individual races based on SNP genetic data, the classification using KNN has an average prediction accuracy that is better than the SVM classification if the SNP location used tests has a high correlation with the sample class. In this case, the highest average accuracy value of KNN is 98.906% and SVM is 98.779%. There is a significant difference between the highest average accuracy of KNN and SVM based on the Wilcoxon statistical test with a significance level of α = 0.05. Benefits of this research are to find the right classification method for predictions of individual racial classification based on SNP genetic data." @default.
• W4367360274 created "2023-04-30" @default.
• W4367360274 creator A5000497309 @default.
• W4367360274 creator A5042257063 @default.
• W4367360274 creator A5045439436 @default.
• W4367360274 date "2023-01-01" @default.
• W4367360274 modified "2023-10-14" @default.
• W4367360274 title "Comparison of KNN and SVM Methods for the Accuracy of Individual Race Classification Prediction Based on SNP Genetic Data" @default.
• W4367360274 cites W1099751115 @default.
• W4367360274 cites W1437423 @default.
• W4367360274 cites W1496097607 @default.
• W4367360274 cites W1965398296 @default.
• W4367360274 cites W2142827986 @default.
• W4367360274 cites W2602466158 @default.
• W4367360274 cites W2619941902 @default.
• W4367360274 cites W2751873519 @default.
• W4367360274 cites W2762929235 @default.
• W4367360274 cites W2782098519 @default.
• W4367360274 cites W2902380111 @default.
• W4367360274 cites W2955141036 @default.
• W4367360274 cites W2958101982 @default.
• W4367360274 cites W2959750635 @default.
• W4367360274 cites W2969455580 @default.
• W4367360274 cites W3014201629 @default.
• W4367360274 cites W3112459541 @default.
• W4367360274 cites W3137202499 @default.
• W4367360274 cites W3182142123 @default.
• W4367360274 cites W3187695855 @default.
• W4367360274 cites W4205993150 @default.
• W4367360274 cites W4206219641 @default.
• W4367360274 cites W4207040141 @default.
• W4367360274 cites W4211063480 @default.
• W4367360274 cites W4214767762 @default.
• W4367360274 cites W4236854226 @default.
• W4367360274 cites W4283593236 @default.
• W4367360274 cites W4285503996 @default.
• W4367360274 doi "https://doi.org/10.1007/978-981-99-0248-4_28" @default.
• W4367360274 hasPublicationYear "2023" @default.
• W4367360274 type Work @default.
• W4367360274 citedByCount "0" @default.
• W4367360274 crossrefType "book-chapter" @default.
• W4367360274 hasAuthorship W4367360274A5000497309 @default.
• W4367360274 hasAuthorship W4367360274A5042257063 @default.
• W4367360274 hasAuthorship W4367360274A5045439436 @default.
• W4367360274 hasConcept C104317684 @default.
• W4367360274 hasConcept C105795698 @default.
• W4367360274 hasConcept C12267149 @default.
• W4367360274 hasConcept C12868164 @default.
• W4367360274 hasConcept C135763542 @default.
• W4367360274 hasConcept C139275648 @default.
• W4367360274 hasConcept C153180895 @default.
• W4367360274 hasConcept C153209595 @default.
• W4367360274 hasConcept C154945302 @default.
• W4367360274 hasConcept C206041023 @default.
• W4367360274 hasConcept C33923547 @default.
• W4367360274 hasConcept C41008148 @default.
• W4367360274 hasConcept C54355233 @default.
• W4367360274 hasConcept C86803240 @default.
• W4367360274 hasConceptScore W4367360274C104317684 @default.
• W4367360274 hasConceptScore W4367360274C105795698 @default.
• W4367360274 hasConceptScore W4367360274C12267149 @default.
• W4367360274 hasConceptScore W4367360274C12868164 @default.
• W4367360274 hasConceptScore W4367360274C135763542 @default.
• W4367360274 hasConceptScore W4367360274C139275648 @default.
• W4367360274 hasConceptScore W4367360274C153180895 @default.
• W4367360274 hasConceptScore W4367360274C153209595 @default.
• W4367360274 hasConceptScore W4367360274C154945302 @default.
• W4367360274 hasConceptScore W4367360274C206041023 @default.
• W4367360274 hasConceptScore W4367360274C33923547 @default.
• W4367360274 hasConceptScore W4367360274C41008148 @default.
• W4367360274 hasConceptScore W4367360274C54355233 @default.
• W4367360274 hasConceptScore W4367360274C86803240 @default.
• W4367360274 hasLocation W43673602741 @default.
• W4367360274 hasOpenAccess W4367360274 @default.
• W4367360274 hasPrimaryLocation W43673602741 @default.
• W4367360274 hasRelatedWork W2041399278 @default.
• W4367360274 hasRelatedWork W2099369243 @default.
• W4367360274 hasRelatedWork W2136184105 @default.
• W4367360274 hasRelatedWork W2141705618 @default.
• W4367360274 hasRelatedWork W2153189372 @default.
• W4367360274 hasRelatedWork W2160451891 @default.
• W4367360274 hasRelatedWork W2907729382 @default.
• W4367360274 hasRelatedWork W4223656335 @default.
• W4367360274 hasRelatedWork W2187500075 @default.
• W4367360274 hasRelatedWork W2345184372 @default.
• W4367360274 isParatext "false" @default.
• W4367360274 isRetracted "false" @default.
• W4367360274 workType "book-chapter" @default.