Robust biomarker identification for cancer diagnosis with ensemble feature selection methods.
about
A toxicogenomic approach for the prediction of murine hepatocarcinogenesis using ensemble feature selectionEvaluation of toxicogenomics approaches for assessing the risk of nongenotoxic carcinogenicity in rat liverIdentification and optimization of classifier genes from multi-class earthworm microarray datasetPhosphosignature predicts dasatinib response in non-small cell lung cancer.Biomarker selection and classification of "-omics" data using a two-step bayes classification framework.Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.Empirical evaluation of consistency and accuracy of methods to detect differentially expressed genes based on microarray data.A prostate cancer model build by a novel SVM-ID3 hybrid feature selection method using both genotyping and phenotype data from dbGaP.A robust and accurate method for feature selection and prioritization from multi-class OMICs data.Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsamplingComputational prediction of conformational B-cell epitopes from antigen primary structures by ensemble learning.Ensemble Feature Learning of Genomic Data Using Support Vector Machine.Reproducible detection of disease-associated markers from gene expression data.Mining pathway associations for disease-related pathway activity analysis based on gene expression and methylation dataGlobal Cell Proteome Profiling, Phospho-signaling and Quantitative Proteomics for Identification of New Biomarkers in Acute Myeloid Leukemia PatientsRobust Feature Selection Technique using Rank Aggregation.Disease biomarker identification from gene network modules for metastasized breast cancerDiscriminative and informative features for biomolecular text mining with ensemble feature selection.Gene expression profiling in whole blood identifies distinct biological pathways associated with obesity.Standards affecting the consistency of gene expression arrays in clinical applications.Multiclass classification of microarray data samples with a reduced number of genes.Gene-gene interaction filtering with ensemble of filtersFeature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures.Core module biomarker identification with network exploration for breast cancer metastasis.Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression dataEffect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.Design of a multi-signature ensemble classifier predicting neuroblastoma patients' outcomeImproving biomarker list stability by integration of biological knowledge in the learning process.A high performance profile-biomarker diagnosis for mass spectral profiles.A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling.Feature selection and classifier performance on diverse bio- logical datasetsPathway activity inference for multiclass disease classification through a mathematical programming optimisation framework.Principal component analysis based feature extraction approach to identify circulating microRNA biomarkers.NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithmsA strategy to build and validate a prognostic biomarker model based on RT-qPCR gene expression and clinical covariates.Measuring cell identity in noisy biological systemsMulti-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancerAccurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.Quantification of liver fibrosis via second harmonic imaging of the Glisson's capsule from liver surface.
P2860
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P2860
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Robust biomarker identificatio ...... ble feature selection methods.
@en
Robust biomarker identificatio ...... ble feature selection methods.
@nl
type
label
Robust biomarker identificatio ...... ble feature selection methods.
@en
Robust biomarker identificatio ...... ble feature selection methods.
@nl
prefLabel
Robust biomarker identificatio ...... ble feature selection methods.
@en
Robust biomarker identificatio ...... ble feature selection methods.
@nl
P50
P356
P1433
P1476
Robust biomarker identificatio ...... ble feature selection methods.
@en
P2093
Pierre Dupont
Thibault Helleputte
P304
P356
10.1093/BIOINFORMATICS/BTP630
P407
P577
2009-11-25T00:00:00Z