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68
datasets available to search
ShareScore release 0.9.0
Dataset results
68 results for “multiple drivers”
Molecular and spatial profiling of multiple sclerosis lesions identifies dysfunctional lipid efflux as a driver of chronic active inflammation
GEO Series GSE301824. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsets
GEO Series GSE202087. Homo sapiens. 46 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Fig. 4 in Phylogeny identifies multiple colonisation events and Miocene aridification as drivers of South Asian bulbul (Passeriformes: Pycnonotidae) diversification
Fig. 4 Lineage through time plot of Asian bulbuls. LTT plot of the logarithm number of species against millions of years before present derived from the Bayesian chronogram. Red line represents the actual plot compared against the expected LTT plot under a pure birth–death model of diversification (black solid line) and 95% CI (black dotted lines). CI was estimated using 100 stochastic trees simulated to have the same speciation rate, extinction rate, no. of taxa and diversification time as the input tree
Fig. 5 in Phylogeny identifies multiple colonisation events and Miocene aridification as drivers of South Asian bulbul (Passeriformes: Pycnonotidae) diversification
Fig. 5 DEC + J model based ancestral area reconstruction from Bio- GeoBEARS, derived from the Bayesian chronogram. Most likely biogeographic areas are shown in the circles, and the colours at the tips
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma
GEO Series GSE296948. Homo sapiens. 11 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [ATAC-seq]
GEO Series GSE296947. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [RNA-Seq]
GEO Series GSE296945. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
Application of machine learning (ML) / deep learning (DL) using multiple epigenetic features reveals H3K27Ac as driver of gene expression prediction across patients with glioblastoma [ChIP-Seq]
GEO Series GSE296944. Homo sapiens. 7 samples. Type: 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.