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544
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ShareScore release 0.7.1
Dataset results
544 results for “integrated models”
Integrative analysis of histone ChIP-seq and gene expression microarray data using Bayesian mixture models
GEO Series GSE49975. Mus musculus. 6 samples. Type: Expression profiling by array.
Land Information System for SMAP Tier-1 and AirMOSS Earth Venture-1 Decadal Survey Missions: Integration of SoilSCAPE, remote sensing, and modeling Project
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An Integrated Model-Based Diagnostic and Prognostic Framework
Systems health monitoring is essential in guar- anteeing the safe, efficient, and correct opera- tion of complex engineered systems. Diagnosis, which consists of detection, isolation and identi- fication of faults; and prognosis, which consists of prediction of the remaining useful life of com- ponents, subsystems, or systems; constitute sys- tems health monitoring. This paper presents an integrated model-based diagnostic and prognos- tic framework, where we make use of a com- mon modeling paradigm to model both the nom- inal and faulty behavior in all aspects of systems health monitoring. We illustrate our approach us- ing a simulated propellant loading system that in- cludes tanks, valves, and pumps.
An Integrated Framework for Model-Based Distributed Diagnosis and Prognosis
Diagnosis and prognosis are necessary tasks for system re- configuration and fault-adaptive control in complex systems. Diagnosis consists of detection, isolation and identification of faults, while prognosis consists of prediction of the remain- ing useful life of systems. This paper presents a novel inte- grated framework for model-based distributed diagnosis and prognosis, where system decomposition is used to enable the diagnosis and prognosis tasks to be performed in a distributed way. We show how different submodels can be automati- cally constructed to solve the local diagnosis and prognosis problems. We illustrate our approach using a simulated four- wheeled rover for different fault scenarios. Our experiments show that our approach correctly performs distributed fault diagnosis and prognosis in an efficient and robust manner.
An Integrated Model-Based Distributed Diagnosis and Prognosis Framework
Diagnosis and prognosis are necessary tasks for system reconfiguration and fault-adaptive control in complex systems. Diagnosis consists of detec- tion, isolation and identification of faults, while prognosis consists of prediction of the remain- ing useful life of systems. This paper presents an integrated model-based distributed diagnosis and prognosis framework, where system decomposi- tion is used to perform the diagnosis and prog- nosis tasks in a distributed way. We show how different submodels can be automatically con- structed to solve the local diagnosis and prog- nosis problems. We illustrate our approach us- ing a simulated four-wheeled rover for different fault scenarios. Our experiments show that our approach correctly performs fault diagnosis and prognosis in a robust manner.
Integrative Analysis of Tamoxifen-resistant Cell Line Models Based on Sequencing Genomes, Transcriptomes and Epigenomes
GEO Series GSE55383. Homo sapiens. 30 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Genome variation profiling by array.
Multi-omics integrative approach of senescent endothelial cells and derived extracellular vesicles in a replicative senescence model
GEO Series GSE311040. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Integrative genomic strategies applied to a lymphoblast cell line model reveal specific transcriptomic signatures associated with clozapine response [expression]
GEO Series GSE158819. Homo sapiens. 28 samples. Type: Expression profiling by array.
Full-length dystrophin restoration via targeted genomic integration by AAV-CRISPR in a humanized mouse model of Duchenne muscular dystrophy
GEO Series GSE173224. Mus musculus. 186 samples. Type: Other.
Clinical and molecular risk factors in extracranial malignanat rhabdoid tumors - towards an integrated model of high-risk tumors
GEO Series GSE246036. Homo sapiens. 85 samples. Type: Methylation profiling by genome tiling array.
Integrative Analysis of Tamoxifen-resistant Cell Line Models Based on Sequencing Genomes, Transcriptomes and Epigenomes [seq]
GEO Series GSE55343. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Multi-omics integrative approach of senescent endothelial cells and derived extracellular vesicles in a replicative senescence model [miRNA-seq]
GEO Series GSE311039. Homo sapiens. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Agouti overexpression in a transgenic model regulates integrity, permeability and electrogenic amino acid transport in zebrafish intestine
GEO Series GSE206810. Danio rerio. 14 samples. Type: Expression profiling by high throughput sequencing.
Integrating multi-omics data with genome scale metabolic modeling for the analysis of Pseudomonas aeruginosa persister cells
GEO Series GSE185914. Pseudomonas aeruginosa. 45 samples. Type: Expression profiling by high throughput sequencing.
Integrated insight into the molecular mechanisms of selenium modulates MPP+ induced cytotoxicity in Parkinson’s disease model
GEO Series GSE186702. Rattus norvegicus. 9 samples. Type: Expression profiling by high throughput sequencing.
Integrated Analysis of Omics Data Reveal AP-1 as a Potential Regulation Hub in the Inflammation-Induced Hyperalgesia Rat Model
GEO Series GSE174631. Rattus norvegicus. 60 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
An organ-chip model of sporadic ALS using iPSC-derived spinal cord motor neurons and an integrated blood-brain-like barrier
GEO Series GSE255606. Homo sapiens. 88 samples. Type: Expression profiling by high throughput sequencing.
Novel non-integrating DNA Nano-S/MAR vectors restore gene function in patient-derived pancreatic tumour models I
GEO Series GSE142115. Homo sapiens. 12 samples. Type: Expression profiling by array.
Genome models integrating chromatin contacts and nuclear lamin-genome interactions reveal implications of laminopathy-causing lamin mutations on genome architecture
GEO Series GSE81671. Homo sapiens. 25 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Multi-omics integrative approach of senescent endothelial cells and derived extracellular vesicles in a replicative senescence model [RNA-seq]
GEO Series GSE311038. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.