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189
datasets available to search
ShareScore release 0.9.0
Dataset results
189 results for “feature model”
Integration-Free Induced Pluripotent Stem Cells Model Genetic and Neural Developmental Features of Down Syndrome Etiology
GEO Series GSE42956. Homo sapiens. 54 samples. Type: Expression profiling by array.
High-throughput sequencing of small RNA transcriptomes and DNA microarrays reveal critical biological features targeted by microRNAs in cell models used for squamous cell cancer research
GEO Series GSE41436. Homo sapiens. 4 samples. Type: Expression profiling by array.
Systemic Delivery of an AAV9 Exon Skipping Vector Significantly Improves or Prevents Features of Duchenne Muscular Dystrophy in the Dup2 Mouse Model
GEO Series GSE195480. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
The Sh3Pxd2bnee-/- mouse: an attractive model unveiling developmental features in Frank-ter-Haar Syndrome
GEO Series GSE283030. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Modeling lethal prostate cancer variant with small cell carcinoma features
GEO Series GSE33054. Homo sapiens. 28 samples. Type: Genome variation profiling by genome tiling array; Expression profiling by array.
Liver Transcriptomics Reveals Features of the Host Response in a Mouse Model of Dengue Virus Infection
GEO Series GSE210022. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Modeling lethal prostate cancer variant with small cell carcinoma features [genomic profile]
GEO Series GSE33053. Homo sapiens. 6 samples. Type: Genome variation profiling by genome tiling array.
Model systems and unique biological features of high and low-grade colorectal cancer (CRC) revealed by xenografting 84 human CRC cell lines
GEO Series GSE296173. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
NAD+ supplementation normalizes key Alzheimer’s features and DNA damage in a new AD mouse model with introduced DNA repair deficiency
GEO Series GSE109055. Mus musculus. 64 samples. Type: Expression profiling by array.
A three-dimensional ex vivo model recapitulates in vivo features and unravels increased drug resistance in childhood acute lymphoblastic leukemia
GEO Series GSE282806. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
Syngeneic model of carcinogen-induced tumor mimics basal/squamous, stromal-rich, and neuroendocrine molecular and immunological features of muscle-invasive bladder cancer
GEO Series GSE220999. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Molecular indicators of stress-induced neuroinflammation in a mouse model simulating features of post-traumatic stress disorder
GEO Series GSE85495. Mus musculus. 40 samples. Type: Methylation profiling by genome tiling array.
Dysregulation of zebrin-II cell subtypes in the cerebellum is a shared feature across polyglutamine ataxia mouse models and patients
GEO Series GSE269430. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features
GEO Series GSE252529. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
Liver Transcriptomics Reveals microRNA Features of the Host Response in a Mouse Model of Dengue Virus Infection
GEO Series GSE213107. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Adaptations of Scrum roles in software projects: Survey and Representation Tentative with Feature Models
<p>Vídeo do short paper sobre papéis do Scrum</p>
Supplementary materials for manuscript "Which model features matter? An experimental approach to evaluate power market modeling choices"
<p>The folder "Output" includes:</p> <ul> <li>a subfolder "all" with all the outputs of the model runs</li> <li>a subfolder "Figures_for_manuscript" with the figures used in the manuscript</li> <li>several subfolders including a selection of model outputs involved in an experiment, with their plots.</li> </ul> <p>The folder "R scripts" includes several scripts. Use "main.R" to call the other scripts and functions. Edit the paths beforehand.</p>
Data from: A methylation-to-expression feature model for generating accurate prognostic risk scores and identifying disease targets in clear cell kidney cancer
Many researchers now have available multiple high-dimensional molecular and clinical datasets when studying a disease. As we enter this multi-omic era of data analysis, new approaches that combine different levels of data (e.g. at the genomic and epigenomic levels) are required to fully capitalize on this opportunity. In this work, we outline a new approach to multi-omic data integration, which combines molecular and clinical predictors as part of a single analysis to create a prognostic risk score for clear cell renal cell carcinoma. The approach integrates data in multiple ways and yet creates models that are relatively straightforward to interpret and with a high level of performance. Furthermore, the proposed process of data integration itself captures relationships in the data that represent highly disease-relevant functions.
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
<p>Data and checkpoints for 'Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models'</p>
scRNA-seq data of: A novel in vitro tubular model to recapitulate features of distal airways: the bronchioid
<p>We provide a .Rds file of an annotated Seurat Object of scRNA-seq data of two bronchioid models derived from distinct donors after 21days of culture using 10x genomics 3' v3 chemistry. Raw data was processed using CellRanger v7.1.0. Cells were filtered based on detected UMIs (>2000) and fraction of mitochondrial counts (<10%).<br>Metadata annotations contain:<br>- Patient -> patient information for every cell (patient1 or patient2)<br>- nCount_RNA -> UMI counts per cell<br>- nFeature_RNA -> genes detected per cell<br>- percent.mt -> mitochondrial count fraction per cell<br>- seurat_clusters -> unsupervised clustering results using Louvain algorithm with resolution = 0.5<br>- Manual.Annotation -> Cell types annotated based on marker gene expression<br>- Celltypist.prediction -> Cell types predicted with CellTypist Python package<br>- Celltypist.prediction.ari -> Cell types predicted with CellTypist Python package, with harmonized names for comparison with manual annotation</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.