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Entropy-based gene ranking without selection bias for the predictive classification of microarray dataRepeatability of published microarray gene expression analysesA comparison of MCC and CEN error measures in multi-class predictionMitigation measures for pandemic influenza in Italy: an individual based model considering different scenariosFunctional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.An accelerated procedure for recursive feature ranking on microarray data.A machine learning pipeline for quantitative phenotype prediction from genotype data.Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples.Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment.Algebraic comparison of partial lists in bioinformaticsTOFwave: reproducibility in biomarker discovery from time-of-flight mass spectrometry data.A promoter-level mammalian expression atlasClinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.Algebraic stability indicators for ranked lists in molecular profiling.Stability indicators in network reconstruction.Machine learning methods for predictive proteomics.A grid environment for high-throughput proteomics.Modeling socio-demography to capture tuberculosis transmission dynamics in a low burden setting.Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm.The international MAQC Society launches to enhance reproducibility of high-throughput technologies.Semisupervised learning for molecular profiling.Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array.Strategies for containing an influenza pandemic: the case of ItalyPredicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian PeninsulaDiet and the Gut Microbiota – How the GutEvaluating reproducibility of AI algorithms in digital pathology with DAPPERPhysiolyze: A Galaxy-based web service for Heart Rate Variability analysis with online processingA Machine Learning Pipeline for Identification of Discriminant PathwaysA Machine Learning Pipeline for Discriminant Pathways IdentificationEfficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial ProductsIntegrating gene expression profiling and clinical dataDeriving the Kernel from Training DataModern data mining tools in descriptive sensory analysis: A case study with a Random forest approachParallelizing AdaBoost by weights dynamicsCombining feature selection and DTW for time-varying functional genomicsGene expression profiling identifies potential relevant genes in alveolar rhabdomyosarcoma pathogenesis and discriminatesPAX3-FKHR positive and negative tumors
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