Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
about
METAGENassist: a comprehensive web server for comparative metagenomicsMetaboAnalyst: a web server for metabolomic data analysis and interpretationA survey of computational tools for downstream analysis of proteomic and other omic datasetsMetabolism and breast cancer risk: frontiers in research and practiceA Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataOpportunities and limitations of SELDI-TOF-MS in biomedical research: practical advicesPredictive Power Estimation Algorithm (PPEA)--a new algorithm to reduce overfitting for genomic biomarker discoveryCardiovascular genomics: a biomarker identification pipelineIntoxicated Speech Detection: A Fusion Framework with Speaker-Normalized Hierarchical Functionals and GMM Supervectors.Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures.Signal processing for metagenomics: extracting information from the soup.Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.Classification and biomarker identification using gene network modules and support vector machinesMass spectrometry cancer data classification using wavelets and genetic algorithm.Challenges of Inversely Estimating Jacobian from Metabolomics Data.Ensemble Feature Learning of Genomic Data Using Support Vector Machine.Classification and feature selection algorithms for multi-class CGH data.Use of SELDI-TOF mass spectrometry for identification of new biomarkers: potential and limitations.Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.A stable iterative method for refining discriminative gene clusters.A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform.DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data.Do serum biomarkers really measure breast cancer?New potential biomarkers in the diagnosis of esophageal squamous cell carcinoma.The validation and assessment of machine learning: a game of prediction from high-dimensional data.Convergent Random Forest predictor: methodology for predicting drug response from genome-scale data applied to anti-TNF response.A scale space approach for unsupervised feature selection in mass spectra classification for ovarian cancer detection.Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data.Module-based prediction approach for robust inter-study predictions in microarray data.Effect of finite sample size on feature selection and classification: a simulation studyBiomarker discovery and redundancy reduction towards classification using a multi-factorial MALDI-TOF MS T2DM mouse model dataset.Sequence features that drive human promoter function and tissue specificity.Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.Segmentation of multi-isotope imaging mass spectrometry data for semi-automatic detection of regions of interestPairwise protein expression classifier for candidate biomarker discovery for early detection of human disease prognosis.Peripheral blood gene expression as a novel genomic biomarker in complicated sarcoidosis.Revealing metabolite biomarkers for acupuncture treatment by linear programming based feature selectionAre there any differences between features of proteins expressed in malignant and benign breast cancers?Alignment-free supervised classification of metagenomes by recursive SVM.Statistical analysis of a lung cancer spectral histopathology (SHP) data set.
P2860
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P2860
Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.
description
2006 nî lūn-bûn
@nan
2006 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Recursive SVM feature selectio ...... ctrometry and microarray data.
@ast
Recursive SVM feature selectio ...... ctrometry and microarray data.
@en
type
label
Recursive SVM feature selectio ...... ctrometry and microarray data.
@ast
Recursive SVM feature selectio ...... ctrometry and microarray data.
@en
prefLabel
Recursive SVM feature selectio ...... ctrometry and microarray data.
@ast
Recursive SVM feature selectio ...... ctrometry and microarray data.
@en
P2093
P2860
P356
P1433
P1476
Recursive SVM feature selectio ...... ctrometry and microarray data.
@en
P2093
Alexander Miron
Hon-Chiu E Leung
James D Iglehart
Lyndsay N Harris
Wing H Wong
Xiu-Qin Xu
Xuegong Zhang
P2860
P2888
P356
10.1186/1471-2105-7-197
P577
2006-04-10T00:00:00Z
P5875
P6179
1049085263