Search results for "ML"

showing 10 items of 1465 documents

Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.

2017

International audience; Controlling the technological variability on an analytical chain is critical for biomarker discovery. The sources of technological variability should be modeled, which calls for specific experimental design, signal processing, and statistical analysis. Furthermore, with unbalanced data, the various components of variability cannot be estimated with the sequential or adjusted sums of squares of usual software programs. We propose a novel approach to variance component analysis with application to the matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) technology and use this approach for protein quantification by a classical signal processing algori…

0301 basic medicineStatistics and ProbabilityMALDI-TOFexperimental designBiometryprotein quantificationQuantitative proteomicsVariance component analysis[ CHIM ] Chemical Sciences01 natural sciencesSignaltechnological variability010104 statistics & probability03 medical and health sciencesstatistical analysis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[CHIM.ANAL]Chemical Sciences/Analytical chemistryComponent (UML)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]biomarker discoverysum of squares type0101 mathematicsBiomarker discoverysignal processingMathematicsSignal processingAnalysis of Variance[ PHYS ] Physics [physics]Noise (signal processing)ProteinsGeneral MedicineVariance (accounting)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030104 developmental biologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationLinear Modelsvariance components[ CHIM.ANAL ] Chemical Sciences/Analytical chemistryStatistics Probability and UncertaintyBiological systemAlgorithmsBiomarkersBiometrical journal. Biometrische Zeitschrift
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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piRNA cluster database: a web resource for piRNA producing loci

2015

Piwi proteins and their guiding small RNAs, termed Piwi-interacting (pi-) RNAs, are essential for silencing of transposons in the germline of animals. A substantial fraction of piRNAs originates from genomic loci termed piRNA clusters and sequences encoded in these piRNA clusters determine putative targets for the Piwi/piRNA system. In the past decade, studies of piRNA transcriptomes in different species revealed additional roles for piRNAs beyond transposon silencing, reflecting the astonishing plasticity of the Piwi/piRNA system along different phylogenetic branches. Moreover, piRNA transcriptomes can change drastically during development and vary across different tissues. Since piRNA clu…

0301 basic medicineTransposable elementendocrine systemSmall RNAPiwi-interacting RNABiologycomputer.software_genreGenomeGermlineMice03 medical and health sciencesGeneticsDatabase IssueAnimalsHumansRasiRNARNA Small InterferingInternetDatabasePhylogenetic treeurogenital systemRNA030104 developmental biologyGenetic LociDatabases Nucleic AcidcomputerNucleic Acids Research
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Next‐generation sequencing reveals the mutational landscape of clinically diagnosed Usher syndrome: copy number variations, phenocopies, a predominan…

2017

Background Combined retinal degeneration and sensorineural hearing impairment is mostly due to autosomal recessive Usher syndrome (USH1: congenital deafness, early retinitis pigmentosa (RP); USH2: progressive hearing impairment, RP). Methods Sanger sequencing and NGS of 112 genes (Usher syndrome, nonsyndromic deafness, overlapping conditions), MLPA, and array-CGH were conducted in 138 patients clinically diagnosed with Usher syndrome. Results A molecular diagnosis was achieved in 97% of both USH1 and USH2 patients, with biallelic mutations in 97% (USH1) and 90% (USH2), respectively. Quantitative readout reliably detected CNVs (confirmed by MLPA or array-CGH), qualifying targeted NGS as one …

0301 basic medicineUsher syndromeNonsense mutationnext‐generation sequencingBiologyGene mutationBioinformatics03 medical and health sciencessymbols.namesakeRetinitis pigmentosaGeneticsmedicineotorhinolaryngologic diseasesMultiplex ligation-dependent probe amplificationNonsyndromic deafnessMolecular BiologyGenetics (clinical)Sanger sequencingGeneticsHeimler syndromeCopy number variationPoint mutationOriginal Articlesmedicine.diseaseeye diseases030104 developmental biologysymbolsphenocopiestranslational read‐throughOriginal ArticleUsher syndromeMolecular Genetics & Genomic Medicine
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Primjena ekstrakta proteina sirutke u proizvodnji smrznutog mliječnog deserta

2018

The aim of this work was to substantiate the use of whey protein extract (WPE), a by-product of dairy industry, combined with different berry purees in the formulation of a whipped frozen dairy dessert (WFDD). After freezing, the swelling ability of WPE decreased significantly while at higher temperatures of the dispersion medium, the degree of swelling increased. A mixture containing 55±2 % WPE and 45±2 % milk presented a homogeneous consistency while the further processing did not improve the structure of the mixture. Final formulations of WFDD containing different berry purees (i.e. 10 % black¬currant puree, 25 % cherry puree, or 30 % strawberry puree) were proposed for which the nutriti…

0301 basic medicineWhey protein030109 nutrition & dieteticsbusiness.industryChemistryorganoleptic propertiesswelling degreeOrganolepticekstrakt proteina sirutke; smrznuti mliječni desert; pire bobičastog voća; organoleptička svojstva; stupanj bubrenjaFood composition datalcsh:SF221-250whey protein extract; whipped frozen dairy dessert; berry puree; organoleptic properties; swelling degreewhey protein extract ; whipped frozen dairy dessert ; berry puree ; organoleptic properties ; swelling degreeberry puree03 medical and health scienceslcsh:DairyingMilk productsFood processingFood scienceFood qualitybusinesswhipped frozen dairy dessertwhey protein extractMljekarstvo
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LBA-06 IMAB362: a novel immunotherapeutic antibody targeting the tight-junction protein component CLAUDIN18.2 in gastric cancer

2016

0301 basic medicinebiologyTight junctionbusiness.industryCancerHematologymedicine.disease03 medical and health sciences030104 developmental biology0302 clinical medicineOncology030220 oncology & carcinogenesisComponent (UML)Antibody targetingbiology.proteinCancer researchmedicineAntibodybusinessAnnals of Oncology
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MiR-24 induces chemotherapy resistance and hypoxic advantage in breast cancer

2017

// Giuseppina Roscigno 1, 2, * , Ilaria Puoti 1, 2, * , Immacolata Giordano 1 , Elvira Donnarumma 3 , Valentina Russo 1 , Alessandra Affinito 1 , Assunta Adamo 1 , Cristina Quintavalle 1, 2 , Matilde Todaro 4 , Maria dM Vivanco 5 , Gerolama Condorelli 1, 2 1 Department of Molecular Medicine and Medical Biotechnology, “Federico II” University of Naples, Naples, Italy 2 IEOS, CNR, Naples, Italy 3 IRCCS-SDN, Naples, Italy 4 Department of Pathobiology and Medical Biotechnology, University of Palermo, Palermo, Italy 5 CIC bioGUNE, Centre for Cooperative Research in Biosciences, Derio, Spain * These authors have contributed equally to the paper as first authors Correspondence to: Gerolama Condore…

0301 basic medicinecancer stem cellsApoptosisStem cell markermedicine.disease_causemicroRNAs Breast cancer Cancer stem cells BimL FIH1Mixed Function OxygenasesAntineoplastic Agent0302 clinical medicineCell MovementTumor Cells CulturedCell Self RenewalMixed Function OxygenaseBimLmicroRNACell HypoxiamicroRNAsGene Expression Regulation NeoplasticOncology030220 oncology & carcinogenesisNeoplastic Stem CellsFemaleBreast NeoplasmAdult stem cellHumanResearch PaperFIH1BimL; FIH1; breast cancer; cancer stem cells; microRNAsAntineoplastic AgentsBreast Neoplasms03 medical and health sciencesBreast cancerbreast cancerDownregulation and upregulationCancer stem cellmicroRNAmedicineBiomarkers TumorHumansCell Proliferationbusiness.industryCancer stem cellApoptosiRepressor Proteinmedicine.diseaseHypoxia-Inducible Factor 1 alpha SubunitMolecular medicineRepressor Proteins030104 developmental biologyDrug Resistance NeoplasmImmunologyCancer researchNeoplastic Stem CellCisplatinCarcinogenesisbusiness
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The severe phenotype of Diamond-Blackfan anemia is modulated by heat shock protein 70.

2017

International audience; Diamond-Blackfan anemia (DBA) is a rare congenital bone marrow failure syndrome that exhibits an erythroid-specific phenotype. In at least 70% of cases, DBA is related to a haploinsufficient germ line mutation in a ribosomal protein (RP) gene. Additional cases have been associated with mutations in GATA1. We have previously established that the RPL11+/Mut phenotype is more severe than RPS19+/Mut phenotype because of delayed erythroid differentiation and increased apoptosis of RPL11+/Mut erythroid progenitors. The HSP70 protein is known to protect GATA1, the major erythroid transcription factor, from caspase-3 mediated cleavage during normal erythroid differentiation.…

0301 basic medicinecongenital hereditary and neonatal diseases and abnormalitiesIdentificationApoptosis-Inducing FactorGata1 MutationsInhibits ApoptosisBiologyHsp7003 medical and health sciencesGermline mutationRed Cells Iron and Erythropoiesishemic and lymphatic diseasesmedicine[ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/HematologyNuclear ImportErythropoiesisDiamond–Blackfan anemiaHuman ErythroblastsBone marrow failure[SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/HematologyGATA1Hematologymedicine.diseasePhenotypeMolecular biology3. Good healthHsp70030104 developmental biologyRibosomal-ProteinsProtein Gene DeletionsErythropoiesisHaploinsufficiencyBlood advances
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Prevalence of Listeria spp. and characterization of Listeria monocytogenes isolated from food products in Tetouan, Morocco

2018

A total of 1096 food samples were purchased in Tetouan, North-Western of Morocco, to examine the presence of Listeria spp. Eighty (7.3%) of the tested samples were found positive for the presence of Listeria spp., while L. monocytogenes was detected in 16 (1.5%) samples. L. monocytogenes isolates belonged to clonal complexes CC2 (PCR serogroup IVb) and CC199 (PCR serogroup Ila) and to 8 different combined AscI/Apal pulsed-field gel electrophoresis profiles. Core genome multilocus sequence typing (cgMLST) allowed to distinguish 12 different cgMLST types and revealed the presence of 3 clusters of closely-related isolates from different samples, suggesting the existence of common sources of co…

0301 basic medicinemedicine.drug_classListeriaPCR-Serogrouping030106 microbiologyAntibioticsPrevalenceBiologymedicine.disease_causeMicrobiology03 medical and health sciencesListeria monocytogenes[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseasesmedicineComputingMilieux_MISCELLANEOUS2. Zero hungerGel electrophoresisbusiness.industryPFGEbiology.organism_classificationFood safety[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyMorocco030104 developmental biology[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyFood productsListeriaMultilocus sequence typingcgMLSTbusiness[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyFood ScienceBiotechnology
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Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
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