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63 results for “feature type”
FIGURE 2 in New records of Neopetrosia carbonaria (Lamarck, 1814) from the Brazilian coast reveal new morphological features and spicule types
FIGURE 2. Underwater photographs of Neopetrosia carbonaria specimens. (A) UFPEPOR 1853, (B) UFPEPOR 1854, (C) UFPEPOR 1637, (D) MNRJ 17035, (E) MNRJ 17783, (F) UFPEPOR 1855, (G) MNRJ 17766, (H) MNRJ 17782.
A Controlled-Study of Fenofibrate 145 mg and Ezetimibe 10 mg in Type IIb Dyslipidemic Patients With Features of the Metabolic Syndrome
ClinicalTrials.gov study NCT00349284. IPD Sharing: Not stated. Countries: 3. Publications: 1.
Clinical Features and Prevalence of Asymptomatic Peripheral Artery Disease in Patients With Type 1 Diabetes Mellitus
ClinicalTrials.gov study NCT02910271. IPD Sharing: UNDECIDED. Countries: 1. Publications: 14.
Predictive modeling for clinical features associated with Neurofibromatosis Type 1
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Datasets for feature-specific class prediction, from readings in several cell-types.
<p>The cell-types featured here are A549, H1ESC, HeLa, IMR90, K562, and MCF7. These happen to be the 6 cell-types out of 8 existing in our integrative database, GREG (https://doi.org/10.1093/database/baz162). The normalized read-coverages from features (variables) like DNA-Protein bindings, histone modifications; ChIP-Seq data, are mapped through genomic intervals of 2 Kbs, genome-wide. These genomic intervals (technically <em>bins</em>), are classified as <em><strong>Hubs</strong></em> or <strong><em>Non-Hubs</em></strong>. Hubs are those bins that are engaged in genomic crosstalk at a distance of 1Mb or Inf., and are Non-Hubs otherwise.</p> <p>Note that features are inconsistent across different cell-types, due to the availability of data. The BAM files have been sourced from ENCODE and NCBI repositories. Also, the users might want to use <em>unique() in R</em> or something similar to refine the datasets for non-redundant instances (if existing).<em> </em></p> <p>The analysis following this data can be tracked at https://github.com/mora-lab/GREG-Hubs.</p>
Data from: Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework
Gram-negative bacteria are responsible for hundreds of millions infections worldwide, including the emerging hospital-acquired infections and neglected tropical diseases in the third-world countries. Finding a fast and cheap way to understand the molecular mechanisms behind the bacterial infections is critical for efficient diagnostics and treatment. An important step towards understanding these mechanisms is the discovery of bacterial effectors, the proteins secreted into the host through one of the six common secretion system types. Unfortunately, current prediction methods are designed to specifically target one of three secretion systems, and no accurate "secretion system-agnostic" method is available. Here, we present PREFFECTOR, a computational feature-based approach to discover effector candidates in Gram-negative bacteria, without prior knowledge on bacterial secretion system(s) or cryptic secretion signals. Our approach was first evaluated using several assessment protocols on a manually curated, balanced dataset of experimentally determined effectors across all six secretion systems, as well as non-effector proteins. The evaluation revealed high accuracy of the top performing classifiers in PREFFECTOR, with the small false positive discovery rate across all six secretion systems. Our method was also applied to six bacteria that had limited knowledge on virulence factors or secreted effectors. PREFFECTOR web-server is freely available at: http://korkinlab.org/preffector.
STRUCTURAL-SEMANTIC TYPES AND STYLISTIC FEATURES OF THE COMPOUND SENTENCE WITH MEASURE-DEGREE CLAUSE
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Figure 4. F1 in Ecological and faunistic features of caddisflies (Insecta: Trichoptera) in different types of habitats in the Dinaric karst area (Central Croatia)
Figure 4. F1×F2 plane of CCA analysis showing 86 caddisfly taxa (77 species + 9 genera of females sp.) six selected environmental variables. Caddisfly taxa codes are presented in Tab. 2.
Modeling the signatures of interaction in Type II supernovae: UV emission, high-velocity features, broad-boxy profiles
<p>Model spectra</p>
Data from: Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework
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Maps of Vegetation Types and Physiographic Features, Kuparuk River Basin, Alaska
This data set provides a collection of vegetation, landscape, geobotanical, elevation, hydrology, and geologic maps for the Kuparuk River Basin, North Slope, Alaska. The maps cover either (1) the entire Kuparuk River Basin, from the headwaters on the north side of the Brooks Range to the Beaufort Sea coast, or (2) the selected Upper Kuparuk River Region including the Toolik Lake and Imnavait Creek research areas. The maps were produced from imagery and existing geobotanical maps covering the period 1976-08-04 to 2008-12-31.
Maps of Vegetation Types and Physiographic Features, Imnavait Creek, Alaska
This dataset provides the spatial distribution of vegetation types, soil carbon, and physiographic features in the Imnavait Creek area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology. Data are also provided on the research grids for georeferencing. The map data are from a variety of sources and encompass the period 1970-06-01 to 2015-08-31.
Maps of Vegetation Types and Physiographic Features, Toolik Lake Area, Alaska
This data set provides the spatial distributions of vegetation types, soil carbon, and physiographic features in the Toolik Lake area, Alaska. Specific attributes include vegetation, percent water, glacial geology, soil carbon, a digital elevation model (DEM), surficial geology and surficial geomorphology.
BRAFV600E induces key features of LCH in iPSCs with cell type–specific phenotypes and drug responses
GEO Series GSE270891. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
A novel type of spinal ependymoma with anaplastic features
GEO Series GSE264714. Homo sapiens. 4 samples. Type: Methylation profiling by array.
Inflammatory Type 2 cDCs Acquire Features of cDC1s and Macrophages to Orchestrate Immunity to Respiratory Virus Infection (scRNA-Seq)
GEO Series GSE149617. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Distinct immune features in the partial remission phase of type 1 diabetes identified through Single-Cell RNA Sequencing and Functional Analysis
GEO Series GSE221297. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Single cell transcriptomics reveals cell type specific features of developmentally regulated responses to lipopolysaccharide between birth and 5 years
GEO Series GSE232186. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Molecular encoding of stimulus features in a single sensory neuron type enables neuronal and behavioral plasticity
GEO Series GSE222226. Caenorhabditis elegans. 10 samples. Type: Expression profiling by high throughput sequencing.
Aboral cell types of Clytia and coral larvae have shared features and link taurine to the regulation of settlement [scRNA-Seq]
GEO Series GSE288936. Astroides calycularis; Clytia hemisphaerica; Pocillopora acuta. 17 samples. Type: Expression profiling by high throughput sequencing.
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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.