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ShareScore release 0.9.0
Dataset results
10 results for “boolean modeling”
Biodivine Boolean Models; Edition 2022
<p>The 2022 edition of the BBM dataset, contains 212 published Boolean networks. The main zip file `biodivine-boolean-models-august-2022.zip` contains all relevant documentation and source files that can be used to generate custom model variants. Remaining zip files contain specific pre-generated sets of models.</p>
Link-operator parameterized boolean models from scale-free topologies
<p>See analysis on this dataset here: <a href="https://druglogics.github.io/brf-bias/random-scale-free-networks-analysis.html">https://druglogics.github.io/brf-bias/random-scale-free-networks-analysis.html</a></p>
All possible boolean models with link operator mutations from CASCADE 1.0
<p>This dataset has the results of using the <a href="https://github.com/druglogics/abmlog">abmlog</a> package on the cancer signaling CASCADE 1.0 topology (77 nodes, 149 edges). Models are stored in <strong>.bnet</strong> (model structure in boolean equations based on the <a href="https://cran.r-project.org/web/packages/BoolNet/index.html">BoolNet</a> R package) and <strong>.gitsbe</strong> format (boolean model structure + attractors, see <a href="https://druglogics.github.io/druglogics-doc/gitsbe-config.html#export">documentation</a>).</p> <p>For more details and analysis of this dataset, check: <a href="https://druglogics.github.io/bool-param-maps/">https://druglogics.github.io/bool-param-maps/ </a></p>
Fitness to Steady State vs Boolean Model Performance for AGS cell line
<p>For the investigation/analysis based on this dataset, see this report: <a href="https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html">https://druglogics.github.io/gitsbe-model-analysis/cascade/fit-perf-ags/main.html</a></p>
Boolean modeling reveals the necessity of transcriptional regulation for bistablity in PC12 Cell Differentiation
GEO Series GSE74327. Rattus norvegicus. 48 samples. Type: Expression profiling by array.
Adapted Boolean Network Models for Extracellular Matrix Formation
GEO Series GSE13837. Homo sapiens. 60 samples. Type: Expression profiling by array.
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models
GEO Series GSE68761. Homo sapiens. 84 samples. Type: Expression profiling by array.
Modeling signaling-dependent pluripotent cell states with boolean logic can predict cell fate transitions
GEO Series GSE88928. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Modeling signaling-dependent pluripotent cell states with boolean logic can predict cell fate transitions [I]
GEO Series GSE88926. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Modeling signaling-dependent pluripotent cell states with boolean logic can predict cell fate transitions [II]
GEO Series GSE88927. Mus musculus. 8 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.