Gene Selection for Cancer Classification using Support Vector Machines
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A new descriptor selection scheme for SVM in unbalanced class problem: a case study using skin sensitisation datasetTechnologies for Clinical Diagnosis Using Expired Human Breath Analysis.Predictive biomarkers for treatment selection: statistical considerationsClass-imbalanced classifiers for high-dimensional dataRRegrs: an R package for computer-aided model selection with multiple regression modelsCross-platform toxicogenomics for the prediction of non-genotoxic hepatocarcinogenesis in ratA review of heterogeneous data mining for brain disorder identificationA Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataDecoding representations of face identity that are tolerant to rotationKey aspects of analyzing microarray gene-expression dataUsing rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataMining gene expression data of multiple sclerosisCirculating microRNA profiles of Ebola virus infectionIdentification of a kinase profile that predicts chromosome damage induced by small molecule kinase inhibitorsUsing expression and genotype to predict drug response in yeastIdentification of single- and multiple-class specific signature genes from gene expression profiles by group marker indexPredictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discoveryUsing support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairmentAnalysis of physicochemical and structural properties determining HIV-1 coreceptor usageA consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site predictionHumoral Dysregulation Associated with Increased Systemic Inflammation among Injection Heroin UsersOn the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual RelationshipsA methodology for the design of experiments in computational intelligence with multiple regression modelsMining precise cause and effect rules in large time series data of socio-economic indicatorsA Non-Destructive Method for Distinguishing Reindeer Antler (Rangifer tarandus) from Red Deer Antler (Cervus elaphus) Using X-Ray Micro-Tomography Coupled with SVM ClassifiersA Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent CohortsDetection of sentence boundaries and abbreviations in clinical narrativesA review of feature reduction techniques in neuroimagingInterpretation and visualization of non-linear data fusion in kernel space: study on metabolomic characterization of progression of multiple sclerosisPrediction of developmental chemical toxicity based on gene networks of human embryonic stem cellsPrefrontal gray matter volume mediates genetic risks for obesityLooking inside the Ocean: Toward an Autonomous Imaging System for Monitoring Gelatinous Zooplankton.Classifying RNA-binding proteins based on electrostatic propertiesMolecular signatures-based prediction of enzyme promiscuity.Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.ProtNN: fast and accurate protein 3D-structure classification in structural and topological space.Novel feature for catalytic protein residues reflecting interactions with other residuesDecoding multiple sound categories in the human temporal cortex using high resolution fMRI.Beyond motor scheme: a supramodal distributed representation in the action-observation network.Micropilot: automation of fluorescence microscopy-based imaging for systems biology.
P2860
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P2860
Gene Selection for Cancer Classification using Support Vector Machines
description
article
@en
im Januar 2002 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2002
@uk
ലേഖനം
@ml
name
Gene Selection for Cancer Classification using Support Vector Machines
@da
Gene Selection for Cancer Classification using Support Vector Machines
@de
Gene Selection for Cancer Classification using Support Vector Machines
@en
Gene Selection for Cancer Classification using Support Vector Machines
@nl
type
label
Gene Selection for Cancer Classification using Support Vector Machines
@da
Gene Selection for Cancer Classification using Support Vector Machines
@de
Gene Selection for Cancer Classification using Support Vector Machines
@en
Gene Selection for Cancer Classification using Support Vector Machines
@nl
prefLabel
Gene Selection for Cancer Classification using Support Vector Machines
@da
Gene Selection for Cancer Classification using Support Vector Machines
@de
Gene Selection for Cancer Classification using Support Vector Machines
@en
Gene Selection for Cancer Classification using Support Vector Machines
@nl
P50
P356
P1433
P1476
Gene Selection for Cancer Classification using Support Vector Machines
@en
P2093
Stephen Barnhill
P2888
P304
P356
10.1023/A:1012487302797
P577
2002-01-01T00:00:00Z
P6179
1048573168