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231
datasets available to search
ShareScore release 0.9.0
Dataset results
231 results for “molecular features”
Notch activity determines a common hepatocellular carcinoma subtype with unique molecular and clinicopathologic features [L-NICD]
GEO Series GSE154551. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Large B-Cell Lymphomas in Pediatric and Young Adults Display Clinically Relevant Molecular Features Distinguishable from Adult Counterparts [oncoscan]
GEO Series GSE128215. Homo sapiens. 51 samples. Type: Genome variation profiling by SNP array.
Large B-Cell Lymphomas in Pediatric and Young Adults Display Clinically Relevant Molecular Features Distinguishable from Adult Counterparts [Nanostring]
GEO Series GSE128293. Homo sapiens. 21 samples. Type: Expression profiling by array.
Large B-Cell Lymphomas in Pediatric and Young Adults Display Clinically Relevant Molecular Features Distinguishable from Adult Counterparts
GEO Series GSE128294. Homo sapiens. 79 samples. Type: Expression profiling by array; SNP genotyping by SNP array; Genome variation profiling by genome tiling array; Genome variation profiling by SNP array.
Large B-Cell Lymphomas in Pediatric and Young Adults Display Clinically Relevant Molecular Features Distinguishable from Adult Counterparts [SNP]
GEO Series GSE128292. Homo sapiens. 3 samples. Type: SNP genotyping by SNP array.
Single-cell Multi-omics Analysis of Human Testicular Germ Cell Tumor Reveals its Molecular Features and Microenvironment II
GEO Series GSE229823. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Large B-Cell Lymphomas in Pediatric and Young Adults Display Clinically Relevant Molecular Features Distinguishable from Adult Counterparts [cytoscan]
GEO Series GSE128214. Homo sapiens. 4 samples. Type: Genome variation profiling by genome tiling array; Genome variation profiling by SNP array.
RNA-targeting Cas9 corrects molecular and physiological features in pre-clinical model of myotonic dystrophy type 1
GEO Series GSE152033. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Differential clinicopathological and molecular features within late-onset colorectal cancer according to tumor location
GEO Series GSE108166. Homo sapiens. 86 samples. Type: Genome variation profiling by genome tiling array.
Notch activity determines a common hepatocellular carcinoma subtype with unique molecular and clinicopathologic features [Venus]
GEO Series GSE154550. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Systematic assessment of prognostic molecular features across cancers
<p>Data Sheets that are part of the publication titled "Systematic assessment of prognostic molecular features across cancers".</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.