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2,885 results for “Transfers”
Robust Augmenting Single-cell RNA-seq with Surface Protein Levels using Geneset Deep Learning and Transfer Learning
<p>This package contains all the code necessary to reproduce results in article submitted to Genes titled " Robust Augmenting Single-cell RNA-seq with Surface Protein Levels using Geneset Deep Learning and Transfer Learning"</p> <p> </p>
Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux Transfer Events on the Ionosphere"
<p>Dataset and Python Scripts used in the manuscript "Global-MHD Simulations using MagPIE : Impact of Flux1 Transfer Events on the Ionosphere"</p> <p>Author: Arghyadeep Paul, Antoine Strugarek and Bhargav Vaidya<br> Date: 21 May, 2023</p> <p><br> Figure 1 has been plotted from two data files named C0_320.vtk and c1_320.vtk using the visualisation toolkit VisIt. Visit can be freely downloaded from https://wci.llnl.gov/simulation/computer-codes/visit</p> <p>Figure 2 has been plotted using the ipython notebook named "figure_2.ipynb"</p> <p><br> Figure 3 has been plotted using the data file named "t_4964.vtk" and the visualisation toolkit VisIt.</p> <p><br> Figure 4 has been plotted using the ipython notebook named "figure_4.ipynb"</p> <p><br> Figure 5 has been plotted using the ipython notebook named "figure_5.ipynb"</p> <p><br> Figure 6 has been plotted using the ipython notebook named "figure_6.ipynb"</p> <p><br> Figure 7 has been plotted using the ipython notebook named "figure_7.ipynb"</p> <p><br> Figure 8 has been plotted using the ipython notebook named "figure_8.ipynb"</p> <p><br> Figure 9 has been plotted using the ipython notebook named "figure_9.ipynb"</p> <p><br> All the associated data files are uploaded with the ipython notebooks</p>
Multimerizations, Aggregation, and Transfer Reactions of Small Numb ers of Molecules
<p>All input (parameter, configuration, and topology) files of R1 and R2 series of simulations necessary to reproduce all data described in the paper: "Multimerizations, Aggregation, and Transfer Reactions of Small Numbers of Molecules"</p> <p> </p>
Accurate TCR-pMHC Interaction Prediction Using a BERT-based Transfer Learning Method
<p>The training data of TCR-BERT and pMHC-BERT and the healthy TCR dataset. For the complete training and testing code of TABR-BERT, see <a href="https://github.com/Freshwind-Bioinformatics/TABR-BERT">Freshwind-Bioinformatics/TABR-BERT: TABR-BERT: an Accurate and Robust BERT-based Transfer Learning Model for TCR-pMHC Interaction Prediction (github.com)</a>.</p>
Accurate TCR-pMHC Interaction Prediction using BERT-based Transfer Learning
<p>The training and test datasets for the TABR-BERT. For the complete training and testing code of TABR-BERT, see <a href="https://github.com/Freshwind-Bioinformatics/TABR-BERT">Freshwind-Bioinformatics/TABR-BERT: TABR-BERT: an Accurate and Robust BERT-based Transfer Learning Model for TCR-pMHC Interaction Prediction (github.com)</a>.</p>
ScienceDex guides
Understand access before you commit
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.