Mostrando 4,321 - 4,340 Resultados de 6,833 Para Buscar '"Python"', tiempo de consulta: 0.36s Limitar resultados
  1. 4321
    “…Here, we present SanPy, a Python-based open-source and freely available software pipeline for the analysis and exploration of whole-cell current-clamp recordings. …”
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  2. 4322
    “…Additionally, scBalance displays impressive scalability in identifying rare cell types in million-level datasets, as shown in the bronchoalveolar cell landscape. scBalance is also significantly faster than commonly used tools and comes in a user-friendly format, making it a superior tool for scRNA-seq analysis on the Python-based platform.…”
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  3. 4323
    “…Software for operating with regular vines is available for R, matlab and Python. However, no dataset containing all regular vines is available. …”
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  4. 4324
    “…Data were analyzed using Microsoft Excel Spreadsheet for descriptive statistics and Python 3.0 scikit-learn package. RESULTS: The study showed that “Lonely” and “Hopeless” were the top two mental health symptoms. …”
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  5. 4325
    “…AVAILABILITY AND IMPLEMENTATION: tiny-count and other tinyRNA tools are implemented in Python, C++, Cython, and R, and the workflow is coordinated with CWL. tiny-count and tinyRNA are free and open-source software distributed under the GPLv3 license. tiny-count can be installed via Bioconda (https://anaconda.org/bioconda/tiny-count) and both tiny-count and tinyRNA documentation and software downloads are available at https://github.com/MontgomeryLab/tinyRNA. …”
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  7. 4327
    “…For image training, we utilized the Python Keras package. The system proved the need for image segmentation in hand gesture recognition. …”
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  10. 4330
    “…AVAILABILITY AND IMPLEMENTATION: SnapCCESS is implemented as a Python package and is freely available from https://github.com/PYangLab/SnapCCESS under the open-source license of GPL-3. …”
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  11. 4331
    “…To address this gap, we present an open-source package called Multi-Object Tracking in Heterogeneous environments (MOTHe), a Python-based application that uses a basic convolutional neural network for object detection. …”
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  12. 4332
    “…AVAILABILITY AND IMPLEMENTATION: The source code, including scripts for the analysis of key findings, can be found at https://github.com/boooooogey/ATAConv, implemented in Python.…”
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  13. 4333
    por Danesh, Farshid, Dastani, Meisam
    Publicado 2023
    “…Latent Dirichlet allocation (LDA) was used for clustering, and support vector machine (SVM), scikit-learn library, and Python programming language were used for text classification. …”
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  14. 4334
    “…The convolutional neural network (CNN) models were trained on 2D images of the spectra using transfer learning of Inception V3, and the logistic regression models were trained using array-based data and Scikit Learn implementation in Python. Our training dataset consisted of 21,166 mass spectra from the United States’ National Institute of Standards and Technology (NIST) Webbook. …”
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  15. 4335
    “…Additionally, we made use of a customised Python-based image processing and analysis pipeline to quantitatively assess memantine-dependent changes in the autophagosomal and lysosomal compartments. …”
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  16. 4336
    “…We developed a novel approach named genetic tAI (gtAI) implemented as a Python package (https://github.com/AliYoussef96/gtAI), which employs a genetic algorithm to obtain the best set of S ( ij ) weights and follows a new codon usage-based workflow that better computes the tAI of genomes from the three domains of life. …”
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  17. 4337
    “…In this work, we: (1) provide an overview of existing methods and tools for representative protein structural ensemble generation and analysis; (2) unify existing approaches in an open-source Python package, and a portable Docker image, providing interactive visualizations within a Jupyter Notebook pipeline; (3) test our pipeline on a few canonical examples from the literature. …”
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  18. 4338
    por Vandenbon, Alexis, Diez, Diego
    Publicado 2023
    “…Performance has been drastically improved, with up to ten times reduction in computational time and scalability to millions of cells, making singleCellHaystack a suitable tool for exploratory analysis of atlas level datasets. singleCellHaystack is available as packages in both R and Python.…”
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  19. 4339
    “…Our implementation of the FastKnock method in Python is publicly available at https://github.com/leilahsn/FastKnock.…”
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