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ShareScore release 0.9.0
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79 results for “integrative framework”
An integrative multiomics framework for identification of therapeutic targets in pulmonary fibrosis [CB1R KO]
GEO Series GSE217814. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.
A probabilistic framework for cellular lineage reconstruction using integrated single-cell 5-hydroxymethylcytosine and genomic DNA sequencing
GEO Series GSE131678. Homo sapiens; Mus musculus. 16 samples. Type: Methylation profiling by high throughput sequencing.
A quantitative computational framework for allopolyploid single-cell data integration and core gene ranking in development [scRNA-seq]
GEO Series GSE224228. Triticum aestivum. 2 samples. Type: Expression profiling by high throughput sequencing.
Data from: An integrative framework of coexistence mechanisms in competitive metacommunities
Species distribution in a metacommunity varies according to their traits, the distribution of environmental conditions and connectivity among localities. These ingredients contribute to coexistence across spatial scales via species sorting, patch dynamics, mass effects and neutral dynamics. These mechanisms however seldom act in isolation and the impact of landscape configuration on their relative importance remains poorly understood. We present a new model of metacommunity dynamics that simultaneously considers these four possible mechanisms over spatially explicit landscapes and propose a statistical approach to partition their contribution to species distribution. We find that landscape configuration can induce dispersal limitations that have negative consequences for local species richness. This result was more pronounced with neutral dynamics and mass effect than with species sorting or patch dynamics. We also find that the relative importance of the four mechanisms varies not only among landscape configurations, but also among species, with some species being mostly constrained by dispersal and/or drift and others by sorting. Changes in landscape properties might lead to a shift in coexistence mechanisms and, by extension, to a change in community composition. This confirms the importance of considering landscape properties for conservation and management. Our results illustrate the idea that ecological communities are the results of multiple mechanisms acting at the same time and complete our understanding of spatial processes in competitive metacommunities.
Figure 4 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 4 Management structure of EnTIRE
Figure 3 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 3 Content for and by the community.
Figure 2 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 2 PERT Description of the work packages and their interrelations.
Figure 1 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 1 Bottom-up participatory approach.
Figure 5 from: Evans N, van Hoof M, Hartman L, Marusic A, Gordijn B, Dierickx K, Bouter L, Widdershoven G (2021) EnTIRE: Mapping Normative Frameworks for EThics and Integrity of REsearch. Research Ideas and Outcomes 7: e76240. https://doi.org/10.3897/rio.7.e76240
Figure 5 Geographic spread of participants.
An integrative multiomics framework for identification of therapeutic targets in pulmonary fibrosis
GEO Series GSE217816. Mus musculus. 38 samples. Type: Expression profiling by high throughput sequencing.
Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer
GEO Series GSE154932. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Data from: An integrative framework of coexistence mechanisms in competitive metacommunities
Open the record for dataset details and reuse information.
Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.
GEO Series GSE109597. Homo sapiens. 84 samples. Type: Expression profiling by array.
Fig. 2 in Integrating selection, niche, and diversification into a hierarchical conceptual framework
Fig. 2 Environmental space mapped into the geographic space. Environmental space is represented by a continuous variable, but we discretized it for the sake of simplicity. Colors: low (white), intermediate (gray), and high values (black). E space means environmental space, and G space means geographic space
SMMGCL: A novel multi-scale graph contrastive learning framework for integrating spatial multi-omics data
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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.
Literature Review for the work "Understanding the Outcomes of Customer-Facing In-Store Technology: A Structured Literature Review and Integrative Framework"
<p>Dataset for the structured literature proposed in the work titled "Understanding the Outcomes of Customer-Facing In-Store Technology: A Structured Literature Review and Integrative Framework" (unpublished). </p>
ScienceDex guides
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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.