svm Search Results


stabinger viscometer svm 3000  (Anton Paar)
90
Anton Paar stabinger viscometer svm 3000
Stabinger Viscometer Svm 3000, supplied by Anton Paar, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/stabinger viscometer svm 3000/product/Anton Paar
Average 90 stars, based on 1 article reviews
stabinger viscometer svm 3000 - by Bioz Stars, 2026-03
90/100 stars
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svm analysis  (CH Instruments)
90
CH Instruments svm analysis
Svm Analysis, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm analysis/product/CH Instruments
Average 90 stars, based on 1 article reviews
svm analysis - by Bioz Stars, 2026-03
90/100 stars
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svm  (Marburg GmbH)
90
Marburg GmbH svm
Svm, supplied by Marburg GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm/product/Marburg GmbH
Average 90 stars, based on 1 article reviews
svm - by Bioz Stars, 2026-03
90/100 stars
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svm  (Novartis)
90
Novartis svm
ROC curve and PPV of <t>SVM</t> prediction ( a ) ROC curves and (b) PPV as a function of sensitivity: all 28 features (listed in ) are used to train the SVM. siRNA with different silencing efficacies (>50% and >70%) within Novartis data set are predicted (see Methods section). ( c) ROC curves and ( d ) PPV as a function of sensitivity: the SVM is trained on the whole Novartis data set and tested on the database collected <t>by</t> <t>Shabalina</t> et al. . Plots are shown for selecting efficient siRNA (silencing efficacies >70%) both with and without self-structure folding free energy terms. There are 28 features in total when including local sequences terms and folding free energy changes. Thermodynamic features are those predicted by OligoWalk .
Svm, supplied by Novartis, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm/product/Novartis
Average 90 stars, based on 1 article reviews
svm - by Bioz Stars, 2026-03
90/100 stars
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svm 12 instrument  (Copley Scientific)
90
Copley Scientific svm 12 instrument
ROC curve and PPV of <t>SVM</t> prediction ( a ) ROC curves and (b) PPV as a function of sensitivity: all 28 features (listed in ) are used to train the SVM. siRNA with different silencing efficacies (>50% and >70%) within Novartis data set are predicted (see Methods section). ( c) ROC curves and ( d ) PPV as a function of sensitivity: the SVM is trained on the whole Novartis data set and tested on the database collected <t>by</t> <t>Shabalina</t> et al. . Plots are shown for selecting efficient siRNA (silencing efficacies >70%) both with and without self-structure folding free energy terms. There are 28 features in total when including local sequences terms and folding free energy changes. Thermodynamic features are those predicted by OligoWalk .
Svm 12 Instrument, supplied by Copley Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm 12 instrument/product/Copley Scientific
Average 90 stars, based on 1 article reviews
svm 12 instrument - by Bioz Stars, 2026-03
90/100 stars
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chi 2 -svm  (CH Instruments)
90
CH Instruments chi 2 -svm
ROC curve and PPV of <t>SVM</t> prediction ( a ) ROC curves and (b) PPV as a function of sensitivity: all 28 features (listed in ) are used to train the SVM. siRNA with different silencing efficacies (>50% and >70%) within Novartis data set are predicted (see Methods section). ( c) ROC curves and ( d ) PPV as a function of sensitivity: the SVM is trained on the whole Novartis data set and tested on the database collected <t>by</t> <t>Shabalina</t> et al. . Plots are shown for selecting efficient siRNA (silencing efficacies >70%) both with and without self-structure folding free energy terms. There are 28 features in total when including local sequences terms and folding free energy changes. Thermodynamic features are those predicted by OligoWalk .
Chi 2 Svm, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/chi 2 -svm/product/CH Instruments
Average 90 stars, based on 1 article reviews
chi 2 -svm - by Bioz Stars, 2026-03
90/100 stars
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svm  (StatLog Inc)
90
StatLog Inc svm
Comparison of the related literature on the different datasets.
Svm, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm/product/StatLog Inc
Average 90 stars, based on 1 article reviews
svm - by Bioz Stars, 2026-03
90/100 stars
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svm classifier  (National Research Council Canada)
90
National Research Council Canada svm classifier
Comparison of the related literature on the different datasets.
Svm Classifier, supplied by National Research Council Canada, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm classifier/product/National Research Council Canada
Average 90 stars, based on 1 article reviews
svm classifier - by Bioz Stars, 2026-03
90/100 stars
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cem-svm  (CEM Corporation)
90
CEM Corporation cem-svm
Comparison of the related literature on the different datasets.
Cem Svm, supplied by CEM Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cem-svm/product/CEM Corporation
Average 90 stars, based on 1 article reviews
cem-svm - by Bioz Stars, 2026-03
90/100 stars
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svm  (Takeda)
90
Takeda svm
Clinical Studies of Artificial Intelligence for Characterization of Colorectal Polyps
Svm, supplied by Takeda, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm/product/Takeda
Average 90 stars, based on 1 article reviews
svm - by Bioz Stars, 2026-03
90/100 stars
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erweka svm-202  (Erweka Inc)
90
Erweka Inc erweka svm-202
Clinical Studies of Artificial Intelligence for Characterization of Colorectal Polyps
Erweka Svm 202, supplied by Erweka Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/erweka svm-202/product/Erweka Inc
Average 90 stars, based on 1 article reviews
erweka svm-202 - by Bioz Stars, 2026-03
90/100 stars
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svm-220  (AutomationDirect)
90
AutomationDirect svm-220
Clinical Studies of Artificial Intelligence for Characterization of Colorectal Polyps
Svm 220, supplied by AutomationDirect, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/svm-220/product/AutomationDirect
Average 90 stars, based on 1 article reviews
svm-220 - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


ROC curve and PPV of SVM prediction ( a ) ROC curves and (b) PPV as a function of sensitivity: all 28 features (listed in ) are used to train the SVM. siRNA with different silencing efficacies (>50% and >70%) within Novartis data set are predicted (see Methods section). ( c) ROC curves and ( d ) PPV as a function of sensitivity: the SVM is trained on the whole Novartis data set and tested on the database collected by Shabalina et al. . Plots are shown for selecting efficient siRNA (silencing efficacies >70%) both with and without self-structure folding free energy terms. There are 28 features in total when including local sequences terms and folding free energy changes. Thermodynamic features are those predicted by OligoWalk .

Journal: Nucleic Acids Research

Article Title: Efficient siRNA selection using hybridization thermodynamics

doi: 10.1093/nar/gkm920

Figure Lengend Snippet: ROC curve and PPV of SVM prediction ( a ) ROC curves and (b) PPV as a function of sensitivity: all 28 features (listed in ) are used to train the SVM. siRNA with different silencing efficacies (>50% and >70%) within Novartis data set are predicted (see Methods section). ( c) ROC curves and ( d ) PPV as a function of sensitivity: the SVM is trained on the whole Novartis data set and tested on the database collected by Shabalina et al. . Plots are shown for selecting efficient siRNA (silencing efficacies >70%) both with and without self-structure folding free energy terms. There are 28 features in total when including local sequences terms and folding free energy changes. Thermodynamic features are those predicted by OligoWalk .

Article Snippet: Finally, an SVM was also trained on the database from Shabalina et al. and tested on Novartis data set.

Techniques:

Comparison of the related literature on the different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature on the different datasets.

Article Snippet: On the StatLog dataset, SVM had a five-fold classification accuracy of 97% and a ten-fold classification accuracy of 95%.

Techniques: Comparison, Selection

Comparison of the related literature based on different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature based on different datasets.

Article Snippet: On the StatLog dataset, SVM had a five-fold classification accuracy of 97% and a ten-fold classification accuracy of 95%.

Techniques: Comparison

Clinical Studies of Artificial Intelligence for Characterization of Colorectal Polyps

Journal: Gut and Liver

Article Title: Application of Artificial Intelligence in the Detection and Characterization of Colorectal Neoplasm

doi: 10.5009/gnl20186

Figure Lengend Snippet: Clinical Studies of Artificial Intelligence for Characterization of Colorectal Polyps

Article Snippet: Takeda et al . (2017) , Retrospective , Invasive CRC , SVM , Endocytoscopy with NBI and stained images , 200 Images , Sensitivity 89.4% Specificity 98.9% Accuracy 94.1%.

Techniques: Biomarker Discovery, Staining, Software