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2,129 results for “Score”
Pre-computed SSCM scores
<p>Precomputed scores from a number of genes, accompanying the paper "SSCM: A method to analyze and predict the pathogenicity of sequence variants". Preprint at http://www.biorxiv.org/content/early/2015/06/26/021527.</p> <p> </p> <p>Code at https://github.com/counsyl/sscm</p>
Claude Debussy - Suite Bergamasque (A corpus of annotated scores)
No description provided.
Normalised FMA-UE scores at different timepoints, according to study and stroke subtype
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FMA-UE scores at different timepoints, according to study and stroke subtype
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Normalised FMA-UE scores at different timepoints, according to study and stroke subtype
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FMA-UE scores at different timepoints, according to study and stroke subtype
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PSCR+ interrater agreement testing scores
<p>In this work, the authors document an expansion of the Public Speaking Competency Rubric (PSCR). First developed in 2012 by Schreiber, et al., the original rubric has only one item related to non-verbal communication. The authors of this work expanded the rubric to include 10 items related to the non-verbal aspects of public speaking and had it critiqued by 10 outside experts. The rubric was tested on recorded speeches given by college students. The expanded rubric, dubbed the PSCR+, has been found to be both valid and reliable. Minimal training is needed to apply the rubric in a classroom setting, and it has the benefit of being useful for both formative and summative assessment. Finally, this rubric is complete enough that it can be used to provide students with detailed feedback regarding their speaking skills without the addition of further notes or comments.</p>
Left atrial polygenic scores for "Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk"
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Data for "A learned score function improves the power of mass spectrometry database search"
<div>These data files are associated with the following publication:</div> <div> <ul> <li>Varun Ananth, Justin Sanders, Melih Yilmaz, Bo Wen, Sewoong Oh and William Stafford Noble. "<a title="biorXiv Preprint Link" href="https://www.biorxiv.org/content/10.1101/2024.01.26.577425v2" target="_blank" rel="noopener">A learned score function improves the power of mass spectrometry database search</a>". Bioinformatics (Proceedings of the ISMB). 2024.</li> </ul> </div> <div>For the benchmarking data, we used a dataset that is publicly available on ProteomeXchange (PXD028735). The paper that introduced this dataset is:</div> <div> <ul> <li>Van Puyvelde, B., Daled, S., Willems, S., Gabriels, R., Gonzalez de Peredo, A., Chaoui, K., Mouton-Barbosa, E., Bouyssié, D., Boonen, K., Hughes, C. J., Gethings, L. A., Perez-Riverol, Y., Bloomfield, N., Tate, S., Schiltz, O., Martens, L., Deforce, D., & Dhaenens, M. (2022). A comprehensive LFQ benchmark dataset on modern day acquisition strategies in proteomics. In Scientific Data (Vol. 9, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41597-022-01216-6</li> </ul> </div> <div>More specifically, the following `.raw` files were downloaded:</div> <ul> <li><code>LFQ_Orbitrap_DDA_Ecoli_01.raw</code></li> <li><code>LFQ_Orbitrap_DDA_Human_01.raw</code></li> <li><code>LFQ_Orbitrap_DDA_Yeast_01.raw</code></li> </ul> <div>Those files can be accessed via FTP <a title="Link to ProteomeXchange: PXD028735" href="https://ftp.pride.ebi.ac.uk/pride/data/archive/2022/02/PXD028735/" target="_blank" rel="noopener">here</a>.</div> <div>We upload here the annotated <code>.mgf</code> files created from these <code>.raw</code> files, as described in our paper.</div> <div>The human, yeast, and E. coli .fasta files used in all database searches were downloaded from UniProt on 11/6/23, 4:30 PM.</div> <div> <ul> <li>Bateman, A., Martin, M.-J., Orchard, S., Magrane, M., Ahmad, S., Alpi, E., Bowler-Barnett, E. H., Britto, R., Bye-A-Jee, H., Cukura, A., Denny, P., Dogan, T., Ebenezer, T., Fan, J., Garmiri, P., da Costa Gonzales, L. J., Hatton-Ellis, E., Hussein, A., … Zhang, J. (2022). UniProt: the Universal Protein Knowledgebase in 2023. In Nucleic Acids Research (Vol. 51, Issue D1, pp. D523–D531). Oxford University Press (OUP). https://doi.org/10.1093/nar/gkac1052</li> </ul> </div> <div>We include these files here, with only minor modifications to replace <code>U</code> amino acids with <code>X</code> so that all amino acids fall into Casanovo-DB's vocabulary.</div>
ESG Scores for Equity Crowdfunding Platforms
<p>This file provides details on how ESG scores were created, and reports statistics on all variable employed in the analyses for the paper:</p> <p>Cumming, D., Meoli, M., Rossi, A., & Vismara, S. (2024). ESG and crowdfunding platforms. <em>Journal of Business Venturing</em>, <em>39</em>(1), 106362. </p> <p><span>This study was funded by the European Union - <em> NextGenerationEU</em>, in the framework of the <em>GRINS -Growing Resilient, INclusive and Sustainable</em> project (GRINS PE00000018 – CUP </span><strong><em>F83C22001720001</em></strong><span>). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.</span></p>
Structures, Scripts and Outputs for In Silico Modeling and Scoring of PROTAC-Mediated Ternary Complex Poses
<p>The input structures, run and analysis scripts, and output files for the PROTAC modeling work as reported in the paper.</p>
A low glycemic index Mediterranean diet reduced the Dietary Inflammatory Index scores in patients with breast cancer
<p><strong>ABSTRACT (word count 263)</strong></p> <p><strong>Background:</strong> Inflammation is directly associated with breast cancer (BC) incidence and mortality, dietary inflammatory index (DII®) and dietary glycemic index (GI) scores, and inversely associated with Mediterranean diet (MD). We therefore investigated the DII in women diagnosed with BC, randomized in a trial to follow either a MD diet or MD with low-GI (MDLGI) carbohydrates.</p> <p><strong>Methods:</strong> Data were derived from 223 women living in Italy, mean age of 59±9.3 years, within 12 months of BC surgery (stages I-III). Dietary data from 7-day food records, the Mediterranean Dietary Assessment Screener (MEDAS) and serum high sensitivity C-reactive protein (hsCRP) levels were collected at baseline and after 12 months of treatment. Student’s t-test, two-way ANOVA, Spearman correlations, Pearson correlation and regression analyses were conducted.</p> <p><strong>Results: </strong>Adherence to the Mediterranean diet increased after 12-months of treatment in both MD and MDLGI groups, MEDAS from 8.1 to 9.1 and from 8.3 to 9.9, respectively (p<0.001); dietary GI decreased from 55.5 to 52.4 and from 55.1 to 47.6, respectively (p<0.001); and DII decreased from 2.08 to 1.49 and from 1.60 to 0.81, respectively (p<0.001). No treatment difference in hsCRP levels and no significant correlation between CRP levels and DII scores were found. The analysis of variance suggested that low GI may independently contribute to lowering the DII (beta-coefficient 0.08, p<0.001).</p> <p><strong>Conclusions: </strong>The DII decreased after 12 months (4 sessions) of dietary counseling on a traditional MD. This effect was particularly stronger when carbohydrates were of low GI. These results are relevant given that lowering the inflammatory potential of the diet may have implications in cancer prognosis and overall survival.</p>
MACIE scores for human genome assembly GRCh37 Part 2 (Chr4 - Chr7)
<p>MACIE (Multi-dimensional Annotation Class Integrative Estimation) is an unsupervised multivariate mixed model framework to assess multi-dimensional functional impacts for both coding and non-coding variants in the human genome. MACIE integrates a variety of functional annotations, including protein function scores, evolutionary conservation scores, and epigenetic annotations from ENCODE and Roadmap Epigenomics, and estimates the joint posterior probabilities of each genetic variant being functional.</p> <p>For each non-coding and synonymous coding variant, the MACIE score is a vector of length 4, representing the estimated joint posterior probabilities of “not evolutionarily conserved and regulatory functional” (MACIE01); “evolutionarily conserved and not regulatory functional” (MACIE10); “not evolutionarily conserved and not regulatory functional” (MACIE00); “both evolutionarily conserved and regulatory functional (MACIE11). MACIE_conserved is the estimated posterior probability of “evolutionarily conserved”, which is the sum of MACIE10 and MACIE11; MACIE_regulatory is the estimated posterior probability of “regulatory functional”, which is the sum of MACIE01 and MACIE11; MACIE_anyclass is the estimated posterior probability of “evolutionarily conserved” or “regulatory functional”, which is the sum of MACIE01, MACIE10, and MACIE11.</p>
Proposal for a clinical and an echocardiographic score for prediction of left atrial thrombosis in atrial fibrillation patients undergoing early electrical cardioversion
<p>Aims: Left atrial thrombosis (LAT) is usually detected by transesophageal echocardi-<br> ography (TEE). The aim of the present study was to identify clinical and echocardio-<br> graphic factors associated with left atrial thrombosis in atrial fibrillation (AF) patients <br> undergoing early electrical cardioversion (ECV) in order to create scores that can <br> predict LAT, in a non-invasive way.<br> Methods: A consecutive cohort of patients with persistent AF scheduled for ECV <br> was evaluated by transthoracic echocardiography and TEE. By a logistic regression <br> model, variables significantly associated with LAT were assessed and introduced in <br> predictive models to develop both a clinical and an echocardiographic prediction <br> score for the presence of LAT.<br> Results: In total, 125 patients [median 71 (range 49-88) years, 60.0% males] were <br> enrolled. Transesophageal echocardiography showed LAT in 35 patients (28%). The <br> clinical variables significantly associated with LAT were previous stroke (OR = 4.17), <br> higher CHA2DS2-VASc score (OR = 1.93), lower estimated glomerular filtration rate <br> (OR = 0.80), and higher brain natriuretic peptide levels (OR = 1.44). Among echocar-<br> diographic parameters, E/e′ ratio was directly associated with LAT (OR = 2.25), while <br> an inverse correlation was detected with left ventricular ejection fraction (OR = 0.43) <br> and total global left atrial strain (OR = 0.59). Two prediction scores (clinical and echo-<br> cardiographic) were developed. The positive predictive values of the clinical and the <br> echocardiographic score were 80% and 100%, respectively, while the negative pre-<br> dictive values were 98% and 94%, respectively. Combined use of the scores reached <br> a positive and negative predictive value of 100%.<br> Conclusions: When providing concordant information the two scores are able to cor-<br> rectly identify patients with or without LAT. An external validation is necessary to <br> demonstrate their usefulness in the clinical practice.</p>
Saved Deep Learning Models for Recurrence Score Prediction
<p>Saved Deep Learning Models for Recurrence Score Prediction</p>
QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period
<p>QOL Scores, prostaglandin-D2, and eosinophil levels at baseline and follow up period</p>
Zinc kinetics correlate with length-for-age z scores in Bangladeshi infants
<p>A comparison of zinc kinetics in infants </p>
Supplementary material 4 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
The poster presented in the Conference.
Supplementary material 5 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
The dataset used for in Stata 14 format. The other datasets are available upon request.
Supplementary material 2 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
A sample SAS SQL program code fragment is attached.
ScienceDex guides
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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.