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Dataset results
165 results for “PPI”
Comprehensive Human PPI Network and TF Network
<p>A public resource for curated and comprehensive high-quality PPI network data.<br> The benefit of such a public data resource allows additional information to be integrated based on research question.<br> Periodic updates of the dataset are planned, please see GitHub page for more details about network construction.</p> <table> <thead> <tr> <th>Network</th> <th>Proteins</th> <th>Interactions</th> </tr> </thead> <tbody> <tr> <td>PPI</td> <td>17,798</td> <td>254,214</td> </tr> <tr> <td>TF</td> <td>1,049</td> <td>3,686</td> </tr> </tbody> </table>
TEAMx-PC22 (TEAMx pre-campaing 2022) - KITcube cloud radar horizontal winds (from PPI) in Kolsass
<p>The RPG FMCW dual-pol dual-frequency cloud radar was operated in Kolsass. This data set contains wind speed and wind direction in 10 min. temporal resolution for both frequencies, 94 GHz and 35 GHz. The wind is determined from PPI at 70 degree elevation via an unfolding VAD algorithm (see Pierre Tabary, Georges Scialom, and Urs Germann. Real-time retrieval of the wind from aliased velocities measured by doppler radars. J. Atmos. Oceanic Technol., 18 (6):875–882, June 2001.) PPIs were performed from May, 31st, through Aug, 26th, 2022. There were technical problems which caused partly very long measurement gaps especially in the second half of the period. Data are stored as one NetCDF file.<br> </p>
Evaluating homophily of human PPI with respect to chromosomes
<p>Homophily/heterophily evaluation, expressed in terms of z-score values, is related to the human Protein-Protein Interaction Network (PPI), obtained from the STRING v11.5 database (<a href="https://string-db.org/">https://string-db.org</a>) setting standard threshold on edge score (T=700). Each protein occurring in the PPI was assigned to a class corresponding to the chromosome the related gene belongs to.</p> <p>A total of 23 classes (<em>chr1</em>, <em>chr2</em>, ..., <em>chr22</em>, <em>chrX</em>) were considered (excluding the class corresponding to chromosome Y because of the small number of genes occurring in the network).</p> <p>The homophily/heterophily nature of the network, with respect to chromosome classes, was evaluated through HONTO tool (<a href="https://github.com/cumbof/honto">https://github.com/cumbof/honto</a>).</p> <p>In other words, the tendency of proteins to preferentially interact with proteins whose genes are physically located on the same chromosome (homophily) or on different chromosomes (heterophily) was investigated and evaluated in terms of z-scores.</p> <p>Values related to intra (along the diagonal) and inter chromosomal interactions (other than the diagonal) are also reported as a heatmap.</p> <p>As one can observe, values occurring in the diagonal are clearly higher than values out of the diagonal, leading to assess a homophilic nature of the network, confirming the link between shared chromosome and interaction in the PPI.</p>
Datasets for assessment of damage in flat panel and final demonstrator with UoI's sensor and PPI-LT approach
<p>Datasets acquired during experimental assessment of damage in the composite flat panel and final demonstrator by the team of the University of Ioannina, in the context of project CompInnova: An Advanced Methodology for the Inspection and Quantification of Damage on Aerospace Composites and Metals using an Innovative Approach (H2020 FETOPEN, Grant Agreement No. 665238). The PPI-LT approach and dedicated IRT sensor developed within CompInnova were used for recording the data. Data are thermograms in image format (jpg, png).<br> <br> The data were used in deliverables D7.2 & D.7.3.</p> <p> </p>
Dataset for assessment of damage in composites and laminates with UoI's sensor and PPI-LT approach
<p>Datasets acquired during experimental assessment of damage in composites and laminates by the team of the University of Ioannina, in the context of project CompInnova: An Advanced Methodology for the Inspection and Quantification of Damage on Aerospace Composites and Metals using an Innovative Approach (H2020 FETOPEN, Grant Agreement No. 665238). The PPI-LT approach and dedicated IRT sensor developed within CompInnova were used for recording the data. Data are thermograms in image format (jpg, png).</p> <p>The data were used in deliverables D3.3 & D.7.1</p> <p> </p> <p> </p>
Random Forest model for PPI predictions
<p>The uploaded model contains the trained random forest model to predict protein-protein Interactions based on their amino acid sequence. The model is described in our preprint "ProteinPrompt: a webserver for predicting protein-protein interactions" which can be found on bioRxiv.org: https://doi.org/10.1101/2021.09.03.458859</p> <p>The model was trained with the scikit-learn package in version 0.20.3 under Python 3.7.12</p>
Process Performance Indicators for IT Service Management: The PPI Dataset
<p>Set of process performance indicators defined in natural language, related to the IT service management processes of several public organizations in Spain as published in <em>Estrada-Torres, B., del-Río-Ortega, A., Resinas, M., & Ruiz-Cortés, A. (2021). Process Performance Indicators for IT Service Management: The PPI Dataset. In Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts (pp. 125-132). CRC Press. DOI: <a href="https://doi.org/10.1201/9781003168393-8">https://doi.org/10.1201/9781003168393-8</a></em></p>
An exploratory study (with and without time pressure) using mouse dynamics to detect faking-good behavior in the MMPI-2 and PPI-R validity scales
<p>Please find here the dataset generated and analyzed during the study entitled "Can mouse dynamics detect faking-good behavior in personality questionnaires? An exploratory study (with and without time pressure) using the MMPI-2 and PPI-R validity scales". Moreover, here you can find the source code of the experiment to execute the task using MouseTracker software, the code of the statistical analysis and a file containing the instructions to replicate ML model results reported in the original paper.</p>
Test Entrez PPI
Open the record for dataset details and reuse information.
A Double-blind Comparative Study of the Efficacy and Safety of E3810 10mg Once and Twice Daily in Maintenance Therapy for PPI Resistant Gastroesophageal Reflux Disease Patients
ClinicalTrials.gov study NCT02135107. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PPI and Clopidogrel Response
ClinicalTrials.gov study NCT01170533. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Proton Pump Inhibitors (PPI) and Fat Absorption in Cystic Fibrosis (CF) and Exocrine Pancreatic Insufficiency (EPI)
ClinicalTrials.gov study NCT03551691. IPD Sharing: YES. Countries: 1. Publications: 21.
Investigate the Effect of Different Doses of Lesogaberan (AZD3355) as add-on to PPI in GERD Patients With Partial Response to PPI
ClinicalTrials.gov study NCT01005251. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Precision Approach to PPI Therapy in Gastroesophageal Reflux Disease
ClinicalTrials.gov study NCT03619811. IPD Sharing: NO. Countries: 1. Publications: 1.
Selective 5-HT4 Receptor Agonist and Proton Pump Inhibitor (PPI) in Subjects With Gastroesophageal Reflux Disease (GERD)
ClinicalTrials.gov study NCT01472939. IPD Sharing: Not stated. Countries: 6. Publications: 1.
Pradaxa Tablet Proton Pump Inhibitor (PPI) Bioavailability (BA) Study in Japan
ClinicalTrials.gov study NCT03143166. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HIGH-PPI
<p>Dataset for HIGH-PPI</p>
Data_for_Rational_Prediction_of_PROTAC_Compatible_PPI
<p>Tar file containing the dataset used for the "Rational prediction of PROTAC compatible ligase-target interfaces" manuscript by Pereira et al.</p>
14-day PCAB-based High-dose Dual Therapy and14-day PCAB-based Triple Therapy vs 14-day PPI-based Reverse Hybrid Therapy
ClinicalTrials.gov study NCT05191888. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Influence of Cola on the Absorption of the HCV Agent Velpatasvir in Combination With PPI Omeprazole.
ClinicalTrials.gov study NCT03513393. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
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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)
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DANDI Archive for NWB datasets
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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.