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481
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ShareScore release 0.9.0
Dataset results
481 results for “network modeling”
To Explore the Functional Connectivity Pattern of Cortical Swallowing Network in the Oral Phase of Post-stroke Dysphagia Based on Dynamic Causal Modelling
ClinicalTrials.gov study NCT06564688. IPD Sharing: NO. Countries: 0. Publications: 0.
Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat: Liver Transcriptome Changes in Study 3
GEO Series GSE123987. Rattus norvegicus. 16 samples. Type: Expression profiling by high throughput sequencing.
Modeling the chondrocyte-derived osteoblasts formation process reveals its molecular signature and regulation network
GEO Series GSE243090. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Convolutional neural network modelling: advancing identification of true mRNA cleavage sites
GEO Series GSE163382. Solanum tuberosum; Phytophthora infestans. 35 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Gene network analysis reveals a role for striatal glutamatergic receptors in dysregulated risk-assessment behavior of autism mouse models
GEO Series GSE138539. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation
GEO Series GSE47189. Homo sapiens. 412 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by high throughput sequencing.
Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat: Liver Transcriptome Changes in Study 2
GEO Series GSE124004. Rattus norvegicus. 16 samples. Type: Expression profiling by high throughput sequencing.
Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression (miRNA)
GEO Series GSE52459. Homo sapiens. 0 samples. Type: Third-party reanalysis; Non-coding RNA profiling by array.
Macroscopic Models of Clique Tree Growth for Bayesian Networks
In clique tree clustering, inference consists of propagation in a clique tree compiled from a Bayesian network. In this paper, we develop an analytical approach to characterizing clique tree growth as a function of increasing Bayesian network connectedness, specifically: (i) the expected number of moral edges in their moral graphs or (ii) the ratio of the number of non-root nodes to the number of root nodes. In experiments, we systematically increase the connectivity of bipartite Bayesian networks, and find that clique tree size growth is well-approximated by Gompertz growth curves. This research improves the understanding of the scaling behavior of clique tree clustering, provides a foundation for benchmarking and developing improved BN inference algorithms, and presents an aid for analytical trade-off studies of tree clustering using growth curves. **Reference:** O. J. Mengshoel, "Macroscopic Models of Clique Tree Growth for Bayesian Networks." In Proc. of the 22nd National Conference on Artificial Intelligence (AAAI-07). July 2007, Vancouver, Canada, pp. 1256-1262. **BibTex Reference:** @inproceedings{mengshoel07macroscopic, author = "Mengshoel, O. J.", title = "Macroscopic Models of Clique Tree Growth for {Bayesian} Networks", year = "2007", booktitle = {Proceedings of the Twenty-Second National Conference on Artificial Intelligence (AAAI-07)}, pages = "1256-1262", address = "Vancouver, British Columbia" }
Inverse Modeling Using a Wireless Sensor Network (WSN) for Personalized Daylight Harvesting
Smart lighting systems in low energy commercial buildings can be expensive to implement and commission. Studies have also shown that only 50% of these systems are used after installation, and those used are not operated at full capacity due to inadequate commissioning and lack of personalization. Wireless sensor networks (WSN) have great potential to enable personalized smart lighting systems for real-time model predictive control of integrated smart building systems. In this paper we present a framework for using a WSN to develop a real-time indoor lighting inverse model as a piecewise linear function of window and artificial light levels, discretized by sub-hourly sun angles. Applied on two days of daylight and ten days of artificial light data, this model was able to predict the light level at seven monitored workstations with accuracy sufficient for daylight harvesting and lighting control around fixed work surfaces. The reduced order model was also designed to be used for long term evaluation of energy and comfort performance of the predictive control algorithms. This paper describes a WSN experiment from an implementation at the Sustainability Base at NASA Ames, a living laboratory that offers opportunities to test and validate information-centric smart building control systems.
Dynamical network biomarker analysis using multi-organ RNA sequencing in metabolic syndrome model mice
GEO Series GSE305719. Mus musculus. 1104 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic analysis of the effect of ASO-mediated (50ug/day) CD33 knock-down on the microglial gene network in an APP/PS1 mouse model of Alzheimer’s disease. [LNA-012]
GEO Series GSE74438. Mus musculus. 91 samples. Type: Expression profiling by array.
Temporal analysis of hippocampal gene co-expression networks in the hyperthermia model of febrile seizures
GEO Series GSE84289. Rattus norvegicus. 55 samples. Type: Expression profiling by array.
The ureic-based herbicide linuron and the model anti-androgen flutamide regulate common gene networks in the fathead minnow (Pimephales promelas) ovary
GEO Series GSE38287. Pimephales promelas. 16 samples. Type: Expression profiling by array.
Systems Modeling of the Rho Signaling Network
GEO Series GSE18307. Drosophila melanogaster. 129 samples. Type: Expression profiling by array.
Transcriptomic analysis of the effect of ASO-mediated (40ug/day) CD33 knock-down on the microglial gene network in an APP/PS1 mouse model of Alzheimer’s disease. [LNA-013]
GEO Series GSE74440. Mus musculus. 90 samples. Type: Expression profiling by array.
Dynamic and specificity of CUC transcription factors during leaf development : Towards a high-resolution Gene Regulatory Network model
GEO Series GSE72134. Arabidopsis thaliana. 9 samples. Type: Expression profiling by high throughput sequencing.
Resequencing of a mutant bearing an iron starvation recovery phenotype defines Slr1658 as a new player in the regulatory network of a model cyanobacterium
GEO Series GSE102876. Synechocystis sp. PCC 6803. 16 samples. Type: Expression profiling by array.
Transcriptomic analysis of the effect of ASO-mediated CD33 knock-down on the microglial gene network in an APP/PS1 mouse model of Alzheimer’s disease. [LNA-006]
GEO Series GSE74437. Mus musculus. 79 samples. Type: Expression profiling by array.
Disrupted transcripitonal network in ΔNp63 AEC tissue model
GEO Series GSE33572. Homo sapiens. 13 samples. Type: Expression profiling by array; Genome binding/occupancy 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.