The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures.
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Metabolomics as a tool for discovery of biomarkers of autism spectrum disorder in the blood plasma of childrenHard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an ExampleTest on existence of histology subtype-specific prognostic signatures among early stage lung adenocarcinoma and squamous cell carcinoma patients using a Cox-model based filterGene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray databiosigner: A New Method for the Discovery of Significant Molecular Signatures from Omics Data.Reproducible detection of disease-associated markers from gene expression data.PPIMpred: a web server for high-throughput screening of small molecules targeting protein-protein interaction.Informative gene selection and direct classification of tumor based on Chi-square test of pairwise gene interactions.Prognostic gene signatures for patient stratification in breast cancer: accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions.Algebraic comparison of partial lists in bioinformaticsiGPSe: a visual analytic system for integrative genomic based cancer patient stratification.Feature selection and classifier performance on diverse bio- logical datasetsT-ReCS: stable selection of dynamically formed groups of features with application to prediction of clinical outcomes.Sparse Zero-Sum Games as Stable Functional Feature Selection.An experimental study of the intrinsic stability of random forest variable importance measures.Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study.Machine Learning methods for Quantitative Radiomic Biomarkers.Prognosis Relevance of Serum Cytokines in Pancreatic Cancer.A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status.Stable feature selection based on the ensemble L 1 -norm support vector machine for biomarker discovery.Identification of long non-coding transcripts with feature selection: a comparative study.Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer.Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test.A feature selection method based on multiple kernel learning with expression profiles of different typesA Multicriteria Approach to Find Predictive and Sparse Models with Stable Feature Selection for High-Dimensional Data.Analysis of bypass signaling in EGFR pathway and profiling of bypass genes for predicting response to anticancer EGFR tyrosine kinase inhibitors.Predictive Modeling of Tacrolimus Dose Requirement Based on High-Throughput Genetic Screening.Discrete Biogeography Based Optimization for Feature Selection in Molecular Signatures.Computing molecular signatures as optima of a bi-objective function: method and application to prediction in oncogenomics.Using protein interaction database and support vector machines to improve gene signatures for prediction of breast cancer recurrence.Clustering gene expression regulators: new approach to disease subtyping.A Partial Least Squares based algorithm for parsimonious variable selection.An Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray.Identification and Clinical Translation of Biomarker Signatures: Statistical Considerations.Multi-parameter machine learning approach to the neuroanatomical basis of developmental dyslexia.Selection and classification of gene expression in autism disorder: Use of a combination of statistical filters and a GBPSO-SVM algorithm.An Improved Binary Differential Evolution Algorithm for Feature Selection in Molecular Signatures.A comparative study of rank aggregation methods for partial and top ranked lists in genomic applications.Discrimination between glioblastoma multiforme and solitary metastasis using morphological features derived from the p:q tensor decomposition of diffusion tensor imaging.
P2860
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P2860
The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures.
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
The influence of feature selec ...... ility of molecular signatures.
@ast
The influence of feature selec ...... ility of molecular signatures.
@en
The influence of feature selec ...... ility of molecular signatures.
@nl
type
label
The influence of feature selec ...... ility of molecular signatures.
@ast
The influence of feature selec ...... ility of molecular signatures.
@en
The influence of feature selec ...... ility of molecular signatures.
@nl
prefLabel
The influence of feature selec ...... ility of molecular signatures.
@ast
The influence of feature selec ...... ility of molecular signatures.
@en
The influence of feature selec ...... ility of molecular signatures.
@nl
P2860
P1433
P1476
The influence of feature selec ...... ility of molecular signatures.
@en
P2093
Anne-Claire Haury
P2860
P304
P356
10.1371/JOURNAL.PONE.0028210
P407
P577
2011-12-21T00:00:00Z