Search results for "PREDICTION"

showing 10 items of 511 documents

The genomic history of the Aegean palatial civilizations

2021

Summary The Cycladic, the Minoan, and the Helladic (Mycenaean) cultures define the Bronze Age (BA) of Greece. Urbanism, complex social structures, craft and agricultural specialization, and the earliest forms of writing characterize this iconic period. We sequenced six Early to Middle BA whole genomes, along with 11 mitochondrial genomes, sampled from the three BA cultures of the Aegean Sea. The Early BA (EBA) genomes are homogeneous and derive most of their ancestry from Neolithic Aegeans, contrary to earlier hypotheses that the Neolithic-EBA cultural transition was due to massive population turnover. EBA Aegeans were shaped by relatively small-scale migration from East of the Aegean, as e…

Bronze AgePopulation turnoverHuman MigrationAnatolia; Bronze Age; Cycladic civilization; Greece; Helladic civilization; Minoan civilization; Mycenean civilization; ancient DNA; paleogenomics; population geneticsSINGLE-NUCLEOTIDE POLYMORPHISMPopulation geneticsMinoan civilizationCivilizationBiologyAncient historyHIRISPLEX SYSTEMArticleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineBronze AgeSKIN COLOR PREDICTIONHumansAnatoliaPHYLOGENETIC ANALYSISBRONZE-AGEPOPULATION-STRUCTUREDNA AncientINDO-EUROPEAN LANGUAGESancient DNALACTASE-PERSISTENCE PHENOTYPEHistory AncientMinoan civilization030304 developmental biologySEQUENCE ALIGNMENTpopulation geneticCycladic civilization0303 health sciencesGreeceGenome Humanpopulation geneticsHelladic civilizationGenòmicapaleogenomicsAncient DNAHomogeneousGenome MitochondrialGreece AncientCivilitzacions palacials de l'EgeuMycenean civilizationLACTOSE DIGESTION030217 neurology & neurosurgeryGenètica
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Novel fuzzy-based optimization approaches for the prediction of ultimate axial load of circular concrete-filled steel tubes

2021

An accurate estimation of the axial compression capacity of the concrete-filled steel tubular (CFST) column is crucial for ensuring the safety of structures containing them and preventing related failures. In this article, two novel hybrid fuzzy systems (FS) were used to create a new framework for estimating the axial compression capacity of circular CCFST columns. In the hybrid models, differential evolution (DE) and firefly algorithm (FFA) techniques are employed in order to obtain the optimal membership functions of the base FS model. To train the models with the new hybrid techniques, i.e., FS-DE and FS-FFA, a substantial library of 410 experimental tests was compiled from openly availa…

Building constructionCCFSThybridpredictionBuilding and ConstructionCCFST; hybrid; prediction; FFA; DE; FSDESettore ICAR/09 - Tecnica Delle CostruzioniFSCCFST DE FFA FS Hybrid PredictionArchitectureFFATH1-9745Civil and Structural Engineering
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7C: Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs.

2019

Abstract Background Knowledge of the three-dimensional structure of the genome is necessary to understand how gene expression is regulated. Recent experimental techniques such as Hi-C or ChIA-PET measure long-range chromatin interactions genome-wide but are experimentally elaborate, have limited resolution and such data is only available for a limited number of cell types and tissues. Results While ChIP-seq was not designed to detect chromatin interactions, the formaldehyde treatment in the ChIP-seq protocol cross-links proteins with each other and with DNA. Consequently, also regions that are not directly bound by the targeted TF but interact with the binding site via chromatin looping are…

CCCTC-Binding Factorlcsh:QH426-470Protein Conformationlcsh:Biotechnologygenetic processesComputational biologyBiologyGenomeChromosomesBioconductorChromosome conformation capture03 medical and health sciences0302 clinical medicine6CHi-Clcsh:TP248.13-248.65GeneticsTranscription factorsHumansnatural sciencesNucleotide Motifs4CChIA-PET030304 developmental biologyChromatin loops0303 health sciencesThree-dimensional genome architectureChromatinChromatinChIP-seq7Clcsh:Genetics5CCTCFChromatin Immunoprecipitation SequencingHuman genomeDNA microarrayChIA-PET3CPrediction030217 neurology & neurosurgeryChromatin interactionsBiotechnologyHeLa CellsResearch ArticleBMC genomics
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Computerized prediction of perforating appendicitis in children.

1989

CHILDRENPERFORATED APPENDICITIS COMPUTERIZED PREDICTION
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Exon-level expression analyses identify MYCN and NTRK1 as major determinants of alternative exon usage and robustly predict primary neuroblastoma out…

2012

BACKGROUND: Using mRNA expression-derived signatures as predictors of individual patient outcome has been a goal ever since the introduction of microarrays. Here, we addressed whether analyses of tumour mRNA at the exon level can improve on the predictive power and classification accuracy of gene-based expression profiles using neuroblastoma as a model. METHODS: In a patient cohort comprising 113 primary neuroblastoma specimens expression profiling using exon-level analyses was performed to define predictive signatures using various machine-learning techniques. Alternative transcript use was calculated from relative exon expression. Validation of alternative transcripts was achieved using q…

Cancer ResearchMedizinComputational biologyBiologyexon arraysBioinformaticsN-Myc Proto-Oncogene ProteinExonNeuroblastomaRisk FactorsNeuroblastomaCell Line TumorGene expressionmedicineHumansRNA MessengerReceptor trkAGeneSurvival analysisOncogene ProteinsN-Myc Proto-Oncogene ProteinGene Expression ProfilingInfantNuclear ProteinsGenetics and GenomicspredictionExonsalternative transcript usemedicine.diseasePrognosisSurvival AnalysisGene expression profilingOncologyChild PreschoolPAMDNA microarray
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aPKCζ cortical loading is associated with Lgl cytoplasmic release and tumor growth in Drosophila and human epithelia

2007

Atypical protein kinase C (aPKC) and Lethal giant larvae (Lgl) regulate apical-basal polarity in Drosophila and mammalian epithelia. At the apical domain, aPKC phosphorylates and displaces Lgl that, in turn, maintains aPKC inactive at the basolateral region. The mutual exclusion of these two proteins seems to be crucial for the correct epithelial structure and function. Here we show that a cortical aPKC loading induces Lgl cytoplasmic release and massive overgrowth in Drosophila imaginal epithelia, whereas a cytoplasmic expression does not alter proliferation and epithelial overall structure. As two aPKC isoforms (iota and zeta) exist in humans and we previously showed that Drosophila Lgl i…

Cancer Researchmedicine.medical_specialtyCytoplasmAPKCz; Cell polarity; Drosophila; Hugl-1; Lethal giant larvae; Ovarian epithelial cancersAPKCzEpitheliumInternal medicineDrosophilidaeCell polarityGeneticsmedicineAnimalsDrosophila ProteinsHumansWings AnimalMolecular BiologyProtein kinase CProtein Kinase CCell ProliferationRegulation of gene expressionOvarian NeoplasmsbiologyTumor Suppressor ProteinsGene Expression Regulation DevelopmentalHugl-1Lethal giant larvaebiology.organism_classificationProtein subcellular localization predictionEpitheliumOvarian epithelial cancersCell biologyEndocrinologymedicine.anatomical_structureDrosophila melanogasterPhenotypeGene Expression RegulationCell polarityFemaleDrosophilaDrosophila melanogasterDrosophila Protein
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Identification of High-Risk Atypical Meningiomas According to Semantic and Radiomic Features

2020

Up to 60% of atypical meningiomas (World Health Organization (WHO) grade II) reoccur within 5 years after resection. However, no clear radiological criteria exist to identify tumors with higher risk of relapse. In this study, we aimed to assess the association of certain radiomic and semantic features of atypical meningiomas in MRI with tumor recurrence. We identified patients operated on primary atypical meningiomas in our department from 2007 to 2017. An analysis of 13 quantitatively defined radiomic and 11 qualitatively defined semantic criteria was performed based on preoperative MRI scans. Imaging characteristics were assessed along with clinical and survival data. The analysis include…

Cancer Researchmedicine.medical_specialtyMultivariate analysisTumor resectionlcsh:RC254-282survivalArticleWorld healthResection03 medical and health sciences0302 clinical medicineatypical meningiomamedicineUnivariate analysisbusiness.industryHazard ratiopredictionOdds ratiolcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensConfidence intervalOncologyradiomics030220 oncology & carcinogenesisRadiologybusiness030217 neurology & neurosurgeryCancers
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Immunonutritive Scoring for Patients with Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Evaluation of the CALLY Index

2021

The novel CRP–albumin–lymphocyte (CALLY) index is an improved immunonutritive scoring system, based on serum C-reactive protein (CRP), serum albumin, and the lymphocyte count. It has shown promise as a prognostic index for patients with hepatocellular carcinoma (HCC) undergoing resections. This study evaluated the prognostic ability of the CALLY index for patients with HCC undergoing transarterial chemoembolization (TACE). We retrospectively identified 280 treatment-naïve patients with HCC that underwent an initial TACE at our institution, between 2010 and 2020. We compared the CALLY index to established risk factors in univariate and multivariate regression analyses for associations with m…

Cancer Researchmedicine.medical_specialtyMultivariate statisticsIndex (economics)Scoring systemFuture studiesMultivariate analysistransarterial chemoembolizationGastroenterologyArticlerisk predictionInternal medicinemedicineOverall survivalRC254-282inflammation indexbusiness.industryfungiUnivariateNeoplasms. Tumors. Oncology. Including cancer and carcinogenshepatocellular carcinomamedicine.diseaseCRP–albumin–lymphocyte ratioimmunoscoringOncologyHepatocellular carcinomabusinessCancers
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Immunonutritive Scoring in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization: Prognostic Nutritional Index or Control…

2021

ObjectivesThe Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score are immunonutritive scoring systems with proven predictive ability in various cancer entities, including hepatocellular carcinoma (HCC). We performed the first evaluation of the CONUT score for patients undergoing transarterial chemoembolization (TACE) and compared CONUT and PNI in the ability to predict median overall survival (OS).MethodsBetween 2010 and 2020, we retrospectively identified 237 treatment-naïve patients with HCC who underwent initial TACE at our institution. Both scores include the albumin level and total lymphocyte count. The CONUT additionally includes the cholesterol level. …

Cancer Researchmedicine.medical_specialtyMultivariate statisticsMultivariate analysisSubgroup analysistransarterial chemoembolizationimmunonutritive scoringGastroenterology03 medical and health sciences0302 clinical medicinecontrolling nutritional statusInternal medicinemedicineIn patientsurvival predictionRC254-282Original Researchrisk scoringbusiness.industryNeoplasms. Tumors. Oncology. Including cancer and carcinogensCancerNutritional statushepatocellular carcinomaprognostic nutritional indexmedicine.diseaseBCLC StageOncology030220 oncology & carcinogenesisHepatocellular carcinoma030211 gastroenterology & hepatologybusinessFrontiers in Oncology
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Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors.

2021

ObjectiveTo develop and evaluate a deep learning model (DLM) for predicting the risk stratification of gastrointestinal stromal tumors (GISTs).MethodsPreoperative contrast-enhanced CT images of 733 patients with GISTs were retrospectively obtained from two centers between January 2011 and June 2020. The datasets were split into training (n = 241), testing (n = 104), and external validation cohorts (n = 388). A DLM for predicting the risk stratification of GISTs was developed using a convolutional neural network and evaluated in the testing and external validation cohorts. The performance of the DLM was compared with that of radiomics model by using the area under the receiver operating char…

Cancer Researchmedicine.medical_specialtyReceiver operating characteristicbusiness.industryDeep learningClass activation mappingNeoplasms. Tumors. Oncology. Including cancer and carcinogensrisk assessmentdeep learningX-ray computedtomographyConfidence intervalprediction modelgastrointestinal stromal tumorsOncologyRisk stratificationCohortMedicineIn patientRadiologyArtificial intelligencebusinessRisk assessmentRC254-282Original ResearchFrontiers in oncology
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