ROC curves for the overall cases. by Puneet Thapar (21464240)

“…The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. …”

ROC curves for the Melanoma case. by Puneet Thapar (21464240)

“…The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. …”

ROC curves for the Benign cases. by Puneet Thapar (21464240)

“…The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. …”

The gene network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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The SNP network of the epistatic interactions detected for Bipolar Disorder. by Liyan Sun (760586)

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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Schematic of the skin cancer detection technique. by Puneet Thapar (21464240)

“…The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. …”

Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Cases with clonal MMR deficiencies. by Yuqian Liu (1413763)

Schematic illustration of spike detection and sequence detection. by Tjitse van der Molen (20391106)

Variation explained by the principal components obtained via sparse PCA of the 79 risk factors used to model population-normalized case-counts in the counties of New Mexico. by Cosmin Safta (11105442)

Algorithm parameter settings employed in the experiments on simulated data. by Liyan Sun (760586)

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Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

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F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

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Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

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Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. by Liyan Sun (760586)

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The brief description on the WTCCC dataset. by Liyan Sun (760586)

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F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. by Liyan Sun (760586)

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