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481
datasets available to search
ShareScore release 0.9.0
Dataset results
481 results for “network modeling”
REST and Neural Gene Network Dysregulation in iPS Cell Models of Alzheimer’s Disease (Affymetrix iPSC data set)
GEO Series GSE117584. Homo sapiens. 10 samples. Type: Expression profiling by array.
A Gene Expression Network Model of Type 2 Diabetes Links Cell Cycle
GEO Series GSE10785. Mus musculus. 240 samples. Type: Expression profiling by array.
A single early-in-life antibiotic course has long-lasting effect on microbial network topology and host immunity, in a murine model
GEO Series GSE98292. Mus musculus. 36 samples. Type: Expression profiling by array.
Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression
GEO Series GSE52460. Homo sapiens. 20 samples. Type: Expression profiling by array; Third-party reanalysis; Non-coding RNA profiling by array.
A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Microarray Analysis of Human Blood and Intestinal Biopsy Samples from a Phase 2b, Double-blind, Plac
GEO Series GSE100833. Homo sapiens. 1717 samples. Type: Expression profiling by array.
MicroRNA regulation of monocyte inflammatory and metabolic networks in an in vivo infection model
GEO Series GSE51858. Bos taurus. 200 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Transcriptome-based network analysis reveals a spectrum model of human macrophage activation [ChIP-Seq]
GEO Series GSE47188. Homo sapiens. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Modeling Inducible Human Tissue Neoplasia Identifies an ECM Interaction Network Involved in Cancer Progression
GEO Series GSE15299. Homo sapiens; Mus musculus. 24 samples. Type: Expression profiling by array.
REST and Neural Gene Network Dysregulation in iPS Cell Models of Alzheimer’s Disease (Affymetrix neurons data set)
GEO Series GSE117585. Homo sapiens. 11 samples. Type: Expression profiling by array.
Fetal sepsis in utero induces disruption of gene networks involved in cardiac morphogenesis in a nonhuman primate model of infection-induced preterm labor
GEO Series GSE98459. Macaca fascicularis; Macaca nemestrina; Macaca mulatta. 10 samples. Type: Expression profiling by array.
Impaired revascularization in a mouse model of diabetes associated with dysregulation of angiogenic-regulatory network.
GEO Series GSE3313. Mus musculus. 24 samples. Type: Expression profiling by array.
REST and Neural Gene Network Dysregulation in iPS Cell Models of Alzheimer’s Disease
GEO Series GSE117589. Homo sapiens. 37 samples. Type: Expression profiling by array; Expression profiling by high throughput sequencing.
Transcriptome sequencing and microRNA–mRNA regulatory network construction in the lens from a Na2Se03-induced Sprague Dawley rat cataract model
GEO Series GSE226274. Rattus norvegicus. 12 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
An ectopic network of transcription factors regulated by Hippo signaling drives growth and invasion of a malignant tumor model
GEO Series GSE71354. Drosophila melanogaster. 53 samples. Type: Expression profiling by high throughput sequencing.
Disrupted transcripitonal network in ΔNp63 AEC tissue model [gene expression]
GEO Series GSE33495. Homo sapiens. 10 samples. Type: Expression profiling by array.
Test Pretrained models for Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
<p>Test description</p>
DualNetGO: A Dual Network Model for Protein Function Prediction via Effective Feature Selection
<p>Data used in the paper, including annotation files, graph embeddings from TransformerAE, and protein attributes for both human and mouse. Extract and place them in the <em>data </em>folder, and there will be two two folders <em>human </em>and <em>mouse </em>containing necessary data for training and testing.</p>
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
<p>Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. Deep neural networks have shown tremendous potential for improving clinical care and skin cancer diagnosis. Nevertheless, prevailing studies predominantly rely on datasets of white skin tones, neglecting to report diagnostic outcomes for diverse patient skin tones. In this work, we evaluate supervised and self-supervised models in skin lesion images extracted from acral regions commonly observed in black individuals. Also, we carefully curate<strong> a dataset containing skin lesions in acral regions and assess the datasets concerning the Fitzpatrick scale to verify performance on black skin.</strong> Our results expose the poor generalizability of these models, revealing their favorable performance for lesions on white skin. Neglecting to create diverse datasets, which necessitates the development of specialized models, is unacceptable. Deep neural networks have great potential to improve diagnosis, particularly for populations with limited access to dermatology. However, including black skin lesions is necessary to ensure these populations can access the benefits of inclusive technology.</p>
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction
Open the record for dataset details and reuse information.
Data set_Network-wide modulation of synaptic plasticity and spike patterns in motor circuits by pallidal deep brain stimulation in a dystonia model
<p>This study utilized deep brain stimulation (DBS) of the globus pallidus pars interna (GPi) to investigate its long-term effects on synaptic activity in motor thalamic and motor cortical neurons in an animal model of generalized dystonia (dtsz hamster). Whole-cell recordings were employed to measure synaptic spike patterns, revealing significant changes in DBS-treated animals compared to sham-treated controls. Specifically, we observed reduced interspike intervals (ISI) and increased postsynaptic current (PSC) frequencies. Fast oscillations were also detected in both thalamic and motor cortical neurons, indicating potential modulation of corticothalamocortical loops by GPi-DBS. Notably, while the overall discharge rates of spontaneous and evoked action potentials remained unchanged, DBS treatment led to increased PSC amplitudes and alterations in inhibitory synaptic currents. These findings suggest that GPi-DBS influences both presynaptic and postsynaptic mechanisms of synaptic plasticity. The results further indicate that GPi-DBS disrupts desynchronized neural activity through axonal and synaptic failures, thereby reorganizing neuronal firing patterns and synaptic connectivity within the motor circuit. This modulation provides mechanistic insights into the therapeutic effects of GPi-DBS in alleviating dystonic symptoms.</p>
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.