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1,855
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Dataset results
1,855 results for “Framework”
An efficient framework to decipher microRNA regulatory programs in functionally divergent naïve T cell subsets [smallRNAseq_cd8dev]
GEO Series GSE280665. Mus musculus. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Streptococcus pneumoniae 4559
GEO Series GSE152827. Streptococcus pneumoniae. 18 samples. Type: Expression profiling by high throughput sequencing.
Nutritional geometry framework on sleep in Drosophila
GEO Series GSE188430. Drosophila melanogaster. 20 samples. Type: Expression profiling by high throughput sequencing.
Comprehensive Study of Nuclear Receptor DNA Binding Provides a Revised Framework for Understanding Receptor Specificity
GEO Series GSE124910. Homo sapiens. 41 samples. Type: Protein profiling by protein array.
A machine learning framework to predict cancer metabolomics from gene-expression data
GEO Series GSE299429. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
An efficient framework to decipher microRNA regulatory programs in functionally divergent naïve T cell subsets [smallRNAseq_mir29cre]
GEO Series GSE280668. Mus musculus. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Stat-6 signaling pathway and not Interleukin-1 mediates multi-walled carbon nanotube-induced lung fibrosis in mice: insights from an adverse outcome pathway framework [IL1-R1_KO]
GEO Series GSE290818. Mus musculus. 38 samples. Type: Expression profiling by array.
Transcriptomic landscapes provide a framework of native gene expression from which to imagine new connections in cell biology
GEO Series GSE125804. Saccharomyces cerevisiae. 8 samples. Type: Expression profiling by high throughput sequencing.
ZGA-Timer: a framework for the identification of key zygotic genome activation genes from time-series RNA-seq data
GEO Series GSE174530. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Bioplatforms Australia: Antibiotic Resistant Sepsis Pathogens Framework Initiative - Streptococcus pneumoniae 947
GEO Series GSE152965. Streptococcus pneumoniae. 18 samples. Type: Expression profiling by high throughput sequencing.
A phylogenetic framework to study the evolution of transcriptional regulatory networks
GEO Series GSE94628. Nakaseomyces glabratus; Schizosaccharomyces pombe; Candida albicans; Naumovozyma castellii; Saccharomyces cerevisiae; Kluyveromyces lactis. 135 samples. Type: Expression profiling by high throughput sequencing; Expression profiling by array.
Refined cellular activity expression signatures provide a targeted framework to quantify phenotypic intra-tumour heterogeneity in single-cell data IV
GEO Series GSE310223. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
DRomics: a turnkey tool to support the use of the dose-response framework for OMICs data in ecological risk assessment
GEO Series GSE122159. Scenedesmus vacuolatus. 30 samples. Type: Expression profiling by array.
Decoding and Rewiring Promoter Architecture Using Large Language Models and Diffusion Frameworks
GEO Series GSE316915. Escherichia coli DH5[alpha]. 6 samples. Type: Expression profiling by high throughput sequencing.
A novel translational in-silico indication discovery framework identifies indications and predictive biomarkers for cenerimod
GEO Series GSE293404. Mus musculus. 72 samples. Type: Expression profiling by high throughput sequencing.
Stat-6 signaling pathway and not Interleukin-1 mediates multi-walled carbon nanotube-induced lung fibrosis in mice: insights from an adverse outcome pathway framework [STAT6_KO]
GEO Series GSE290819. Mus musculus. 40 samples. Type: Expression profiling by array.
An efficient framework to decipher microRNA regulatory programs in functionally divergent naïve T cell subsets [RNAseq_mir29cre]
GEO Series GSE280662. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Dataset for Paper "The EMPATHIC Framework for Task Learning from Implicit Human Feedback"
<p>This is the <strong>raw</strong> data set for the paper "The EMPATHIC Framework for Task Learning from Implicit Human Feedback", published at CoRL 2020. (<a href="https://sites.google.com/utexas.edu/empathic/home">project website</a>)</p> <p>The data set contains human facial reactions recorded while the subjects watching autonomous agents completing a task that determines their reward. This data set contains data recorded in two domains: <em>Robotaxi</em> and <em>RoboticSortingTask</em> (details of each domain can be found in the paper).</p> <p>This data set file is organized as:</p> <ul> <li><strong>RobotaxiData</strong>/: <ul> <li>subject_id/ <ul> <li>episode_N/ <ul> <li>[subject_id]_episode_N_[time]_[time_step]_[frame_id].jpg</li> </ul> </li> </ul> </li> <li>RLstatistics_episode_N.csv: time_step, reward, optimality</li> </ul> </li> <li><strong>RoboticSortingTaskData</strong>/ <ul> <li>subject_id/ <ul> <li>[subject_id]_[trajectory_order]_[trajectory_id]</li> </ul> </li> <li>trajectory_returns.csv: trajectory_id, final_return</li> </ul> </li> </ul> <p>If you find this data set useful for your research, please consider citing our paper:</p> <pre>@inproceedings{cui2020empathic, title={The EMPATHIC Framework for Task Learning from Implicit Human Feedback}, author={Cui, Yuchen and Zhang, Qiping and Allievi, Alessandro and Stone, Peter and Niekum, Scott and Knox, W Bradley}, booktitle={Conference on Robot Learning}, year={2020}, organization={PMLR} }</pre> <p> </p>
Data for "A unified model-based framework for doublet/multiplet detection in single-cell multiomics data"
<p>This repository contains all the data necessary for replicating the COMPOSITE multiplet detection results featured in our manuscript, 'A Unified Model-Based Framework for Doublet/Multiplet Detection in Single-Cell Multiomics Data'. The data are ready to be directly used as input for the COMPOSITE cloud-based application or the Python package 'sccomposite' to replicate the results.</p>
Data for Study "Towards a transparent framework for assessing the revisions of national climate pledges after the Global Stocktake"
<p>This is the data repository with global and country-level data for individual scenarios used in the study “<strong>Towards a transparent framework for assessing the revisions of national climate pledges after the Global Stocktake</strong>”.</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.