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1,930 results for “Matrix”
Glutamine inhibited hyperglycolysis to curb lactylation of AMPKα to accelerate extracellular matrix synthesis and autophagy and restrain senescence in nucleus pulposus cell
GEO Series GSE226186. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Dormancy-inducing 3D engineered matrix uncovers mechanosensitive and drug-protective FHL2-p21 signaling axis
GEO Series GSE182606. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Changes in the astrocyte translatome induced by developmental ethanol mediate dysregulation of neuronal development: role of the extracellular matrix and relevance to Fetal Alcohol Spectrum Disorders
GEO Series GSE272272. Mus musculus. 48 samples. Type: Expression profiling by high throughput sequencing.
Mechanoresponsive genomic enhancers potentiate the cellular response to matrix stiffness [migration]
GEO Series GSE243760. Homo sapiens. 10 samples. Type: Other.
Arnica montana stimulates extracellular matrix gene expression in human macrophages differentiated to wound-healing phenotype.
GEO Series GSE77382. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
The role of HNRNPU and the nuclear matrix in human pluripotent stem cells
GEO Series GSE242351. Homo sapiens. 78 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Other; Expression profiling by high throughput sequencing.
The role of HNRNPU and the nuclear matrix in human pluripotent stem cells [Hi-C]
GEO Series GSE242344. Homo sapiens. 4 samples. Type: Other.
AFLP matrix Lilium pomponium
<p>Binary AFLP fragment matrix of 20 <em>Lilium pomponium</em> populations. The primer combinations used in this preamplification were: ASII: EcoR1-AGG/ MseI -CGG, ASIII: EcoR1-AGC/ MseI -CAG, ASVII: EcoR1-AGC/ MseI -CTG dyed with 6-FAM fluorescence at 5′ Eco end. Data of populations are reported in relevé locality data table.</p>
Figure 1 from: Dovhanyk V, Mahlovanyy A, Harkov S, Synytsa V, Hrynovets V, Hrynovets I, Chaban I, Lelyukh M (2020) Spectroscopic criteria for early diagnosis of changes in the mineral and organic matrix of hard dental tissues. Pharmacia 67(1): 5-12. https://doi.org/10.3897/pharmacia.67.e35126
Figure 1 The infrared spectrum of intact enamel.
Gene expression and co-expression matrix for diatoms
<p>Supplemental dataset accompanying the paper: Comprehensive and functional analysis of horizontal gene transfer events in diatoms, Vancaester et al. MBE (<a href="https://doi.org/10.1093/molbev/msaa182">https://doi.org/10.1093/molbev/msaa182</a>).</p> <p>This dataset contains the generated gene expression matrix for the diatoms <em>Phaeodactylum tricornutum</em>, <em>Seminavis robusta</em>, <em>Fragilariopsis cylindrus</em> and <em>Thalassiosira pseudonana</em>. Relevant experiments were queried using Curse (Vaneechoutte and Vandepoele 2019), which also allows the user to identify and curate replicates. Next, the atlas was generated using Prose (Vaneechoutte and Vandepoele 2019), which uses the SRA toolkit to download the raw data locally, FastQC (Andrews 2010) to perform quality control and adapter detection, Trimmomatic (Bolger et al. 2014) for automatic read trimming and finally kallisto (Bray et al. 2016) for expression quantification in transcripts per million (TPM). Finally, also the co-expression clusters defined based on the gene expression for <em>Phaeodactylum tricornutum </em>is included.</p> <p>The dataset containing all detected phylogenetic trees of diatom genes of horizontal descent can be found on <a href="https://zenodo.org/record/3889669#.XyB-E-dCdPY">(https://zenodo.org/record/3889669#.XyB-E-dCdPY)</a>.</p>
Microsatellite matrix of Poa annua
<p>Comparative studies of invasive species in human-inhabited versus truly uninhabited habitats, particularly on their genetic structure, remain scarce. Sub-Antarctic islands provide an ideal system to study invasions in such contrasting environments as they represent semi-pristine conditions in highly remote areas that are accessible only through a small number of introduction routes. Here we studied the invasion genetics of annual bluegrass <i>Poa annua</i> on the Prince Edward Islands (PEI) that include the inhabited Marion Island and the uninhabited Prince Edward Island. We analysed variation at nuclear microsatellite loci and performed flow cytometry analyses to compare the genetic diversity and structure of this widespread invasive grass. We also used ecological niche models to estimate currently suitable habitat in these islands. We found high levels of genetic diversity and evidence for extensive admixture between genetically distinct groups of <i>P. annua</i> on Marion Island. In contrast, Prince Edward Island populations showed low levels of genetic diversity and no apparent admixture. Higher genetic diversity was apparent at the human entry points and around human settlements on both islands, suggesting that these areas received multiple introductions and acted as both initial introduction sites and secondary sources for invasive populations within the archipelago. Over 70 years of continuous human activity on Marion Island have led to the invasive spread of this species around human settlements and along footpaths, facilitating ongoing gene flow among geographically separated populations. In contrast, this was not the case for Prince Edward Island. The high levels of genetic variation, admixture, and habitat suitability in invasive <i>P. annua</i> facilitated by human actions, may increase the adaptive potential of the species, which could further enhance the species' invasiveness.</p>
User Groups for Robustness of Meta Matrix Factorization Against Decreasing Privacy Budgets
<p>This dataset comprises a subset of rating data from five different datasets, i.e., Douban [1], Hetrec-MovieLens [2], MovieLens 1M [3], Ciao [4] and Jester [5]. Each subset represents rating data from three distinct user groups: users with few ratings (low), users with a medium amount of ratings (med) and users with lots of ratings (high). Each row in the user files includes a user's id and her number of ratings. The rows of the ratings files are in the format (user_id, item_id, rating). For more details, we refer to our publication in <a href="https://rd.springer.com/chapter/10.1007/978-3-030-72240-1_8">https://rd.springer.com/chapter/10.1007/978-3-030-72240-1_8</a>.</p> <p>Douban<br> * 375 users (i.e., 125 users per user group)<br> * 32,191 items<br> * 266,517 ratings</p> <p>Hetrec-MovieLens <br> * 318 users (i.e., 106 users per user group)<br> * 9,553 items<br> * 207,943 ratings</p> <p>MovieLens 1M<br> * 906 users (i.e., 302 users per user group)<br> * 3,613 items<br> * 275,119 ratings</p> <p>Ciao<br> * 1,107 users (i.e., 369 users per user group)<br> * 60,132 items<br> * 107,807 ratings</p> <p>Jester<br> * 11,013 users (i.e., 3,671 per user group)<br> * 100 items<br> * 618768 ratings</p> <p>The python code for generating and utilizing this dataset can be found in https://github.com/pmuellner/RobustnessOfMetaMF.</p> <p>This work is supported by the H2020 project TRUSTS (GA: 871481) and the "DDAI'' COMET Module within the COMET – Competence Centers for Excellent Technologies Programme, funded by the Austrian Federal Ministry for Transport, Innovation and Technology (bmvit), the Austrian Federal Ministry for Digital and Economic Affairs (bmdw), the Austrian Research Promotion Agency (FFG), the province of Styria (SFG) and partners from industry and academia. The COMET Programme is managed by FFG.</p> <p>[1] Hu, L., Sun, A., Liu, Y.: Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction. In: SIGIR’14 (2014)<br> [2] Cantador, I., Brusilovsky, P., Kuflik, T.: Second international workshop on information heterogeneity and fusion in recommender systems (hetrec2011). In: RecSys’11(2011)<br> [3] Harper, F. M., Konstan, J. A.: The movielens datasets: History and context. ACM Transactions on Interactive Intelligent Systems (TIIS) 5(4), 1–19 (2015)<br> [4] Guo, G., Zhang, J., Thalmann, D., Yorke-Smith, N.: Etaf: An extended trust antecedents framework for trust prediction. In: ASONAM’14 (2014)<br> [5] Goldberg, K., Roeder, T., Gupta, D., Perkins, C.: Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4(2), 133–151 (2001)</p>
Single cell dataset - annotated matrix
<p>This is an annotated dataset of scRNA-seq, used as the input for a Galaxy tutorial for filtering, normalisation and batch correction.</p>
Nitrogen Containing Bisphosphonates Impair the Release of Bone Homeostasis Mediators and Matrix Production by Human Primary Pre-Osteoblasts
<p>Datasets of the paper 'Nitrogen Containing Bisphosphonates Impair the Release of Bone Homeostasis Mediators and Matrix Production by Human Primary Pre-Osteoblasts'</p>
Table 7: Pairwise comparison matrix – motorcyclist perceptions
<p>Pairwise comparison matrix for motorcyclist perceptions</p>
Data from: There is more than one way to skin a G matrix
Because of its importance in directing evolutionary trajectories there has been considerable interest in comparing variation among genetic variance-covariance ( G) matrices. Numerous statistical approaches have been suggested but no general analysis of the relationship among these methods has previously been published. In this paper we used data from a half-sib experiment and simulations to explore the results of applying eight tests (T method, modified Mantel test, Bartlett's test, Flury hierarchy, Jackknife-MANOVA, Jackknife-eigenvalue test, random skewers, selection skewers). Whereas a randomization approach produced acceptable estimates those from a bootstrap were typically unacceptable and we recommend randomization as the preferred method. All methods except the Jackknife-eigenvalue test gave similar results although a fine scale analysis suggested that the former group can be subdivided into two or possibly three groups, hierarchical tests, skewers, and the rest (Jackknife-MANOVA, Modified Mantel, T method, probably Bartlett's). An advantage of the jackknife methods is that they permit tests of association with other factors, such as in this case, temperature and sex. We recommend applying all the tests described in this paper, with the exception of the T method, and provide R functions for this purpose.
APPENDIX B: Commonalities And Differentiation Matrix of Study
<p><strong>APPENDIX B: </strong>Commonalities And Differentiation Matrix of Study</p>
Extended 2019 Social Accounting Matrix for Zambia
<p>This is a social accounting matrix produced by IFPRI, but extended to include a more detailed representation of the energy sector. </p> <p>The IFPRI reference is as follows - Pauw, K., Tembo, B., and Thurlow, J. (2021). 2019 Social Accounting Matrix for Zambia: A Nexus Project SAM. </p>
DENTRO Tree Matrix: dataset behind DENTRO - a Tree Species Selection Guide for Agroforestry
<p><strong>As a choice has to be made on whether a tree species matches the conditions of an agroforestry project in terms of e.g. soil characteristics and objectives, this dataset can support the tree species selection process.</strong></p> <p>This dataset, called <strong>‘’DENTRO Tree Matrix’’ (EN)</strong> or <strong>‘’DENTRO Bomenmatrix’’ (NL)</strong>, contains information about how tree species match certain relevant parameters varying from abiotic conditions (e.g. soil, weather, light, etc.), animals, objectives (e.g. wood/fruit/nut production and ecological function), and feasibility (e.g. disease risks and planting material availability).</p> <p>In recent years, a growing interest in agroforestry systems has been observed in Belgium and the Netherlands. Therefore, it is important to pay sufficient attention to the tree species selection process as this plays a major role in whether the agroforestry project is successful or not. Also in terms of climate change, it is important to select a tree species that both fits the farmer’s field conditions and can handle well with the extreme weather conditions occurring in the region in which the plot is located. This is why the DENTRO Tree Matrix also includes parameters such as strong wind, drought, frost, heat waves, and floods.</p> <p>The objective of the DENTRO Tree Matrix is to offer knowledge about commonly planted tree species in temperate regions (with a focus on Belgium and The Netherlands), so the right choices considering e.g. field and weather conditions can be made by the end user (farmers, advisors, ...).</p> <p>The DENTRO Tree Matrix also serves as a back-end dataset behind a set of decision support and/or tree species selection tools (currently (<strong>BETULA, AgroforesTreeAdvice, and DENTRO</strong>). </p> <p>The use of BETULA (a), DENTRO (a) and AgroforesTreeAdvice (b) is free, and these tools can be accessed through the following links:</p> <p>(a) <a href="https://www.agroforestryvlaanderen.be/en/agroforestry-planner-2">https://www.agroforestryvlaanderen.be/en/agroforestry-planner-2</a> </p> <p>(b) <a href="https://agroforestreeadvice.sk8.inrae.fr/">AgroforesTreeAdvice (inrae.fr)</a></p> <p>The background info sheet can be read here: <a href="https://www.agroforestryvlaanderen.be/nl/nieuws/boomsoortenselectie-waarmee-rekening-houden">Boomsoortenselectie: waarmee rekening houden? - Agroforestry (agroforestryvlaanderen.be)</a> (currently in Dutch).</p> <p>More info? Contact us through info@agroforestryvlaanderen.be </p>
Optimation of image encryption using fractal Tromino and polynomial Chebyshev based on chaotic matrix
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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)
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.