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lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine.
An improved systematic approach to predicting transcription factor target genes using support vector machine.
Predicting protein-ligand binding site using support vector machine with protein properties.
Predicting metabolic syndrome using decision tree and support vector machine methods.
Predicting DNA binding proteins using support vector machine with hybrid fractal features.
Computational Detection of piRNA in Human Using Support Vector Machine.
Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
Screening for pre-diabetes using support vector machine model.
Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine.
ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.
A support vector machine for predicting defibrillation outcomes from waveform metrics.
No-Go task from EEG signals using Support Vector Machine.
"Split" full-thickness skin grafts.
Privacy preserving RBF kernel support vector machine.
Overcome support vector machine diagnosis overfitting.
Predicting primary progressive aphasias with support vector machine approaches in structural MRI data.
Predicting the ecotoxicity of ionic liquids towards Vibrio fischeri using genetic function approximation and least squares support vector machine.
Experimental realization of a quantum support vector machine.
A correction method using a support vector machine to minimize hematocrit interference in blood glucose measurements.
Full-thickness skin grafting in nasal reconstruction.
Full-thickness periareolar skin resection in mastopexy.
Free full thickness skin graft urethroplasty.
Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.
Automatic detection of microcalcifications using mathematical morphology and a support vector machine.
Predicting full thickness skin sensitization using a support vector machine.
To assess the public's propensity for allergic contact dermatitis (ACD), many alternatives to in vivo chemical screening have been developed which gen...
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Recommend Documents
lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine.
An improved systematic approach to predicting transcription factor target genes using support vector machine.
Predicting protein-ligand binding site using support vector machine with protein properties.
Predicting metabolic syndrome using decision tree and support vector machine methods.
Predicting DNA binding proteins using support vector machine with hybrid fractal features.
Computational Detection of piRNA in Human Using Support Vector Machine.
Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
Screening for pre-diabetes using support vector machine model.
Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine.
ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.
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