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151
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ShareScore release 0.9.0
Dataset results
151 results for “network scaling”
DDA-GTN: large-scale drug repurposing on drug-gene-disease heterogenous association networks using graph transformers
Open the record for dataset details and reuse information.
FIGURE. View of the lower side in R. reducta showing absence of cortex and anastomosate network of hyphae. Scale = 0.75 cm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE. View of the lower side in R. reducta showing absence of cortex and anastomosate network of hyphae. Scale = 0.75 cm.
Large scale transposon co-option in the Caenorhabditis germline regulatory network
GEO Series GSE192540. Caenorhabditis elegans; Caenorhabditis briggsae. 14 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing; Other.
Developing Large-Scale Bayesian Networks by Composition
In this paper, we investigate the use of Bayesian networks to construct large-scale diagnostic systems. In particular, we consider the development of large-scale Bayesian networks by composition. This compositional approach reflects how (often redundant) subsystems are architected to form systems such as electrical power systems. We develop high-level specifications, Bayesian networks, clique trees, and arithmetic circuits representing 24 different electrical power systems. The largest among these 24 Bayesian networks contains over 1,000 random variables. Another BN represents the real-world electrical power system ADAPT, which is representative of electrical power systems deployed in aerospace vehicles. In addition to demonstrating the scalability of the compositional approach, we briefly report on experimental results from the diagnostic competition DXC, where the ProADAPT team, using techniques discussed here, obtained the highest scores in both Tier 1 (among 9 international competitors) and Tier 2 (among 6 international competitors) of the industrial track. While we consider diagnosis of power systems specically, we believe this work is relevant to other system health management problems, in particular in dependable systems such as aircraft and spacecraft. **Reference:** O. J. Mengshoel, S. Poll, and T. Kurtoglu. "Developing Large-Scale Bayesian Networks by Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft." Proc. of the IJCAI-09 Workshop on Self-* and Autonomous Systems (SAS): Reasoning and Integration Challenges, 2009 **BibTex Reference:** @inproceedings{mengshoel09developing, title = {Developing Large-Scale {Bayesian} Networks by Composition: Fault Diagnosis of Electrical Power Systems in Aircraft and Spacecraft}, author = {Mengshoel, O. J. and Poll, S. and Kurtoglu, T.}, booktitle = {Proc. of the IJCAI-09 Workshop on Self-$\star$ and Autonomous Systems (SAS): Reasoning and Integration Challenges}, year={2009} }
Methylation-mediated retuning on the enhancer-to-silencer activity scale of networked regulatory elements guides driver-gene misregulation
GEO Series GSE163019. Homo sapiens. 24 samples. Type: Methylation profiling by high throughput sequencing.
Methylation-mediated retuning on the enhancer-to-silencer activity scale of networked regulatory elements guides driver-gene misregulation
GEO Series GSE163021. Homo sapiens. 36 samples. Type: Methylation profiling by high throughput sequencing; Other.
Methylation-mediated retuning on the enhancer-to-silencer activity scale of networked regulatory elements guides driver-gene misregulation
GEO Series GSE163020. Homo sapiens. 12 samples. Type: Other.
Large-scale analysis of grooming in modern social networks
<p>We provide a large-scale dataset of the messages exchanged publicly by the streamers and viewers during the live broadcasts of users identified as adult content producers from the <a href="https://www.liveme.com/">LiveMe</a> platform, a major Social Live Streaming Service (SLSS). The dataset comprises 39,382,838 chat messages exchanged by 1,428,284 users, in the context of 293,271 live broadcasts during a period of approximately two years, from July 2016 to June 2018. The analysis of this dataset can be found in our paper <strong><em>"Large-scale analysis of grooming in modern social networks" </em></strong>(<a href="https://arxiv.org/abs/2004.08205">arXiv:2004.08205</a> [cs.SI]).</p>
maxATAC: genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks
GEO Series GSE197009. Homo sapiens. 3 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
DDA-GTN: large-scale drug repurposing on drug-gene-disease heterogenous association networks using graph transformers
Open the record for dataset details and reuse information.
DDA-GTN: large-scale drug repurposing on drug-gene-disease heterogenous association networks using graph transformers
Open the record for dataset details and reuse information.
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.