Search results for "Datasets"

showing 5 items of 45 documents

Integrated analysis of colorectal cancer microRNA datasets: Identification of microRNAs associated with tumor development

2018

Colorectal cancer (CRC) is one of the leading cause of cancer death worldwide. Currently, no effective early diagnostic biomarkers are available for colorectal carcinoma. Therefore, there is a need to discover new molecules able to identify pre-cancerous lesions. Recently, microRNAs (miRNAs) have been associated with the onset of specific pathologies, thus the identification of miRNAs associated to colorectal cancer may be used to detect this pathology at early stages. On these bases, the expression levels of miRNAs were analyzed to compare the miRNAs expression levels of colorectal cancer samples and normal tissues in several miRNA datasets. This analysis revealed a group of 19 differentia…

0301 basic medicineMAPK/ERK pathwayAgingColorectal cancerDatasets as TopicBiology03 medical and health sciences0302 clinical medicineMismatch Repair PathwaymicroRNAmedicineHumansSettore MED/05 - Patologia ClinicaGenePI3K/AKT/mTOR pathwayBioinformaticWnt signaling pathwayMicroRNAbioinformaticsBiomarkerCell Biologymedicine.diseaseColorectal cancerBiomarker (cell)MicroRNAs030104 developmental biology030220 oncology & carcinogenesisBioinformatics; Biomarker; Colorectal cancer; Dataset; MicroRNA; Aging; Cell BiologyCancer researchColorectal NeoplasmsTranscriptomeResearch PaperDataset
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Human experts vs. machines in taxa recognition

2020

The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards the ability and logic of machines. In our study, we investigate both the differences in accuracy and in the identification logic of taxonomic experts and machines. We propose a systematic approach utilizing deep Convolutional Neural Nets with the transfer learning paradigm and extensively evaluate it over a multi-pose taxonomic dataset with hierarchical labels specifically created for this comparison. We also study the prediction accuracy on different ranks of taxonomic hier…

FOS: Computer and information sciencesComputer Science - Machine Learninghahmontunnistus (tietotekniikka)Computer scienceClassification approachTaxonomic expert02 engineering and technologyneuroverkotcomputer.software_genreConvolutional neural networkQuantitative Biology - Quantitative MethodsField (computer science)Machine Learning (cs.LG)Machine learning approachesStatistics - Machine LearningAutomated approachDeep neural networks0202 electrical engineering electronic engineering information engineeringTaxonomic rankQuantitative Methods (q-bio.QM)Classification (of information)Artificial neural networksystematiikka (biologia)Prediction accuracyIdentification (information)koneoppiminenMulti-image dataBenchmark (computing)020201 artificial intelligence & image processingConvolutional neural networksComputer Vision and Pattern RecognitionClassification errorsMachine Learning (stat.ML)Machine learningState of the artElectrical and Electronic EngineeringTaxonomySupport vector machinesLearning systemsbusiness.industryNode (networking)020206 networking & telecommunicationsComputer circuitsHierarchical classificationConvolutionSupport vector machineFOS: Biological sciencesTaxonomic hierarchySignal ProcessingBiomonitoringBenchmark datasetsArtificial intelligencebusinesscomputertaksonitSoftware
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Parallel paleogenomic transects reveal complex genetic history of early European farmers

2017

In European Neolithic populations, the arrival of farmers prompted admixture with local hunter-gatherers over many centuries, resulting in distinct signatures in each region due to a complex series of interactions. David Reich and colleagues analyse genome-wide data from 180 individuals from the Neolithic and Chalcolithic periods of Hungary, Germany and Spain to study the population dynamics of Neolithization in European prehistory. They examine how gene flow reshaped European populations during the Neolithic period, including pervasive admixture—the interbreeding between previously isolated populations—between groups with different ancestry profiles. In each region, they find that the arri…

0301 basic medicineGene FlowMale0106 biological sciencesHuman MigrationPopulation DynamicsPopulationDatasets as Topic010603 evolutionary biology01 natural sciencesArticleGene flowPrehistory03 medical and health sciencesSpatio-Temporal AnalysisGermanyGenetic variationHumansDNA AncienteducationTransectHistory Ancient030304 developmental biologyHungary0303 health scienceseducation.field_of_studyGenetic diversityMultidisciplinaryFarmersHuman migrationbusiness.industryEcologyGenetic VariationChalcolithic030104 developmental biologyAncient DNAGeographySpainPeriod (geology)EthnologyFemalebusiness
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Ancestry and demography and descendants of Iron Age nomads of the Eurasian Steppe

2017

During the 1st millennium before the Common Era (BCE), nomadic tribes associated with the Iron Age Scythian culture spread over the Eurasian Steppe, covering a territory of more than 3,500 km in breadth. To understand the demographic processes behind the spread of the Scythian culture, we analysed genomic data from eight individuals and a mitochondrial dataset of 96 individuals originating in eastern and western parts of the Eurasian Steppe. Genomic inference reveals that Scythians in the east and the west of the steppe zone can best be described as a mixture of Yamnaya-related ancestry and an East Asian component. Demographic modelling suggests independent origins for eastern and western g…

Gene FlowMale0301 basic medicineSteppePopulation geneticsHuman MigrationGenomic dataBiological anthropologyScience[SHS.ANTHRO-BIO]Humanities and Social Sciences/Biological anthropologyDatasets as TopicGeneral Physics and AstronomyDNA MitochondrialWhite PeopleArticleGeneral Biochemistry Genetics and Molecular BiologyRussia03 medical and health sciencesAsian Peopleddc:590HumansEast AsiaHistory AncientTransients and MigrantsModels StatisticalMultidisciplinarygeography.geographical_feature_categoryHuman migrationbusiness.industryQGenetic VariationGeneral ChemistryGrasslandKazakhstan030104 developmental biologyGeographyIron AgeEthnologybusiness
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Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue

2018

Abstract Background Gene expression profiling (GEP) studies recognized a prognostic role for tumor microenvironment (TME) in diffuse large B-cell lymphoma (DLBCL), but the routinely adoption of prognostic stromal signatures remains limited. Patients and methods Here, we applied the computational method CIBERSORT to generate a 1028-gene matrix incorporating signatures of 17 immune and stromal cytotypes. Then, we carried out a deconvolution on publicly available GEP data of 482 untreated DLBCLs to reveal associations between clinical outcomes and proportions of putative tumor-infiltrating cell types. Forty-five genes related to peculiar prognostic cytotypes were selected and their expression …

0301 basic medicineOncologyMalePathologyHematologic MalignanciesBiopsyDatasets as TopicPredictive Value of TestDeconvolutionCohort StudiesTranscriptomeAntibodies Monoclonal Murine-Derived0302 clinical medicineprognosticatorsimmune system diseaseshemic and lymphatic diseasesTumor MicroenvironmentCluster Analysisdigital expression analysisRandomized Controlled Trials as TopicParaffin EmbeddingHematology; OncologyHematologyMiddle AgedPrognosisCorrigendaProgression-Free SurvivalAlgorithmOncology030220 oncology & carcinogenesisCell-of-originFemaleLymphoma Large B-Cell DiffuseSurvival AnalysiAlgorithmsHumanAdultmedicine.medical_specialtyStromal cellMicroenvironmentFormalin fixed paraffin embeddedPrognosiReproducibility of ResultDissection (medical)03 medical and health sciencesDigital expression analysiYoung AdultPrognosticatorPredictive Value of TestsFormaldehydeInternal medicinemedicineHumansProgression-free survivalGeneSurvival analysisAgedTumor microenvironmentCluster AnalysiProportional hazards modelbusiness.industryGene Expression ProfilingReproducibility of ResultsComputational BiologyOriginal Articlesmedicine.diseaseSurvival AnalysisGene expression profiling030104 developmental biologyDLBCLCohort StudieTranscriptomebusinessDiffuse large B-cell lymphomaDLBCL microenvironment deconvolution cell-of-origin digital expression analysis prognosticators
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