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766 results for “Baseline”
Global analyses of human immune variation reveal baseline predictors of postvaccination responses
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VH repertoires from 19 adults immunized with Tdap, at baseline or at day 7
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Dataset related to article "Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT"
<p>This record contains raw data related to article "Convolutional Neural Networks Promising in Lung Cancer T-Parameter Assessment on Baseline FDG-PET/CT"</p> <p>Aim:</p> <p>To develop an algorithm, based on convolutional neural network (CNN), for the classification of lung cancer lesions as T1-T2 or T3-T4 on staging fluorodeoxyglucose positron emission tomography (FDG-PET)/CT images.</p> <p>Methods:</p> <p>We retrospectively selected a cohort of 472 patients (divided in the training, validation, and test sets) submitted to staging FDG-PET/CT within 60 days before biopsy or surgery. TNM system seventh edition was used as reference. Postprocessing was performed to generate an adequate dataset. The input of CNNs was a bounding box on both PET and CT images, cropped around the lesion centre. The results were classified as Correct (concordance between reference and prediction) and Incorrect (discordance between reference and prediction). Accuracy (Correct/[Correct + Incorrect]), recall (Correctly predicted T3-T4/[all T3-T4]), and specificity (Correctly predicted T1-T2/[all T1-T2]), as commonly defined in deep learning models, were used to evaluate CNN performance. The area under the curve (AUC) was calculated for the final model.</p> <p>Results:</p> <p>The algorithm, composed of two networks (a "feature extractor" and a "classifier"), developed and tested achieved an accuracy, recall, specificity, and AUC of 87%, 69%, 69%, and 0.83; 86%, 77%, 70%, and 0.73; and 90%, 47%, 67%, and 0.68 in the training, validation, and test sets, respectively.</p> <p>Conclusion:</p> <p>We obtained proof of concept that CNNs can be used as a tool to assist in the staging of patients affected by lung cancer.</p>
Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs
<p>These are DWC text files, fasta files, excel files, and Newick tree files associated with scoring the Platygastroidea BOLD intercontinental and island BIN dataset. They are referenced in the paper, "Mining biodiversity databases establishes a global baseline of cosmopolitan Insecta mOTUs: a case study on Platygastroidea (Hymenoptera) with consequences for biological control programs".</p>
Baseline serum anti-glycan total Ig antibodies of 113 subjects in a clinical trial of PROSTVAC-VF, a therapeutic cancer vaccine. (Dilution = 1:50)
GEO Series GSE50236. Quercus alba; Gossypium hirsutum; Pandalus borealis; Homo sapiens; Medicago sativa; Gallus gallus; Ovis aries; Megathura crenulata; Frangula alnus; Rhodotorula; Bos taurus; Mus musculus; Bothrops moojeni; Senegalia senegal; Pachymenia carnosa; Dermestes lardarius. 113 samples. Type: Protein profiling by protein array.
DIO_DMSO vs DIO_seno heart baseline Cardiomyocytes size
<p>DIO_DMSO vs DIO_seno heart baseline Cardiomyocytes size</p>
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.