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The emergence of infectious agents with pandemic potential present scientific challenges from detection to data interpretation to understanding determinants of risk and forecasts. Mathematical models could play an essential role...

big data Data integration Fundamental theory Genotype to phenotype map Health system functioning Immune landscape Disease Outbreaks Forecasting Models Theoretical Pandemics

The ability to study cancer-immune cell communication across the whole tumor section without tissue dissociation is needed, especially for cancer immunotherapy development, which requires understanding of molecular mechanisms...

cell-cell interaction Data integration interaction analysis Skin cancer Spatial Ligands RNA Sequence Analysis RNA Single-Cell Analysis Transcriptome

AbstractWhen statistical analyses consider multiple data sources, Markov melding provides a method for combining the source-specific Bayesian models. Markov melding joins together submodels that...

article Biased sampling Data integration Evidence synthesis Kernel density estimation Multi-source inference Self-density ratio Weighted sampling

Semantic Web Data integration Data Mining Ontology Biomedical Research Data Mining Internet Machine Learning

Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to...

Data integration Factor Analysis multi-omics single cell Animals DNA Methylation Embryonic Development Factor Analysis Statistical Frontal Lobe Mice Sequence Analysis RNA Single-Cell Analysis

Abstract: Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational...

method single cell multi-omics Data integration Factor Analysis

Introduction: As real time data processing is integrated with medical care for traumatic brain injury (TBI) patients, there is a requirement for devices to have digital output. However, there are still many devices that fail to...

Computer vision Data integration image modification opitcal character recognition system integration

To investigate the effect of possible changes to decarbonise the economy, a detailed picture of the current production system is needed. Material/energy flow analysis (MEFA) allows for building such a model. There are, however...

Data integration Decision support system material flow analysis Ontology Resource efficiency Rule-based approach Semantic technology /dk/atira/pure/subjectarea/asjc/2600/2614 name=Theoretical Computer Science /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth name=SDG 8 - Decent Work and Economic Growth /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production name=SDG 12 - Responsible Consumption and Production

BACKGROUND: The mammalian intestine is a complex biological system that exhibits functional plasticity in its response to diverse stimuli to maintain homeostasis. To improve our understanding of this plasticity, we performed a...

Complement Pathway Data integration Homeostasis Intestine pathway analysis transcriptomics Animals Complement Activation Complement System Proteins Computational Biology Gene Expression Profiling Homeostasis Intestinal Mucosa Mice Models Biological Molecular Sequence Annotation Signal Transduction Transcriptome

When statistical analyses consider multiple data sources, Markov melding provides a method for combining the source-specific Bayesian models. Markov melding joins together submodels that have a common quantity. One challenge is...

Biased sampling Data integration Evidence synthesis Kernel density estimation Multi-source inference Self-density ratio Weighted sampling

Phenotype Ontology PATO Data integration Semantic Web

Abstract: Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational...

method single cell multi-omics Data integration Factor Analysis

BioHackathon open source Software Semantic Web Databases Data integration Data visualization Web Services Interfaces

To investigate the effect of possible changes to decarbonise the economy, a detailed picture of the current production system is needed. Material/energy flow analysis (MEFA) allows for building such a model. There are, however...

Data integration Decision support system material flow analysis Ontology Resource efficiency Rule-based approach Semantic technology /dk/atira/pure/subjectarea/asjc/2600/2614 name=Theoretical Computer Science /dk/atira/pure/subjectarea/asjc/1700/1700 name=General Computer Science /dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth name=SDG 8 - Decent Work and Economic Growth /dk/atira/pure/sustainabledevelopmentgoals/responsible_consumption_and_production name=SDG 12 - Responsible Consumption and Production

Autoencoders Batch correction Clustering Data integration dimensionality reduction scRNA-seq Machine Learning RNA Sequence Analysis RNA Single-Cell Analysis Exome Sequencing

Abstract: Background: Single-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as well as the onset of different pathologies. Finding an effective and...

Research Autoencoders scRNA-seq dimensionality reduction Clustering Batch correction Data integration

Multi-omics studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking. We present...

Data integration dimensionality reduction multi‐omics personalized medicine single‐cell omics

We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early...

autism Data integration Early prediction High-risk Individual prediction longitudinal study Machine Learning Autism spectrum disorder Child Development Child Preschool Female Humans Infant Infant Behavior Machine Learning Male Risk Factors Siblings

ThaleMine (https://apps.araport.org/thalemine/) is a comprehensive data warehouse that integrates a wide array of genomic information of the model plant Arabidopsis thaliana. The data collection currently includes the latest...

Arabidopsis thaliana InterMine Data integration data warehouse Genomics Web Services Arabidopsis Arabidopsis Proteins Computational Biology Databases Genetic Gene Expression Profiling Gene Expression Regulation Plant Gene Ontology Genomics Information Storage and Retrieval Internet Protein Interaction Mapping Protein Interaction Maps Reproducibility of Results Sequence Analysis RNA