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  1. 5441
    “…SequelTools is implemented in bash, R, and Python using only standard libraries and packages and is platform independent. …”
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    SequelTools: a suite of tools for working with PacBio Sequel raw sequence data
  2. 5442
    “…METHODS: CoV-Seq is implemented in Python and JavaScript. The web server and source code URLs are provided in this article. …”
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    CoV-Seq, a New Tool for SARS-CoV-2 Genome Analysis and Visualization: Development and Usability Study
  3. 5443
    “…Statistical analyses were carried out using Jupyter Notebooks (5.7.2), Python (ver. 3.6) and GraphPad Prism 8. Results: The study demonstrated the differences between the expressions of several lncRNA in cancer patients’ and healthy volunteers’ plasma, as well as between locally advanced and metastatic patients’ groups. …”
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    Liquid lncRNA Biopsy for the Evaluation of Locally Advanced and Metastatic Squamous Cell Carcinomas of the Head and Neck
  4. 5444
    “…Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. …”
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    MetaLAFFA: a flexible, end-to-end, distributed computing-compatible metagenomic functional annotation pipeline
  5. 5445
    “…In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on neuromorphic hardware using tools they are already familiar with, such as Keras and Python. We identify four primary challenges in building robust, embedded neurorobotic systems, including: (1) developing infrastructure for interfacing with the environment and sensors; (2) processing task specific sensory signals; (3) generating robust, explainable control signals; and (4) compiling neural networks to run on target hardware. …”
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    Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics
  6. 5446
    “…The autocalibration program Auto‐Calibration Python (ACPy) was applied to achieve a more comprehensive adjustment of model parameters. …”
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    Predicting ecosystem state changes in shallow lakes using an aquatic ecosystem model: Lake Hinge, Denmark, an example
  7. 5447
    “…The Scipion framework, originally developed for SPA (de la Rosa-Trevín et al., 2016), has a generic python workflow engine that gives it the versatility to be extended to other fields, as demonstrated for model building (Martínez et al., 2020). …”
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    ScipionTomo: Towards cryo-electron tomography software integration, reproducibility, and validation
  8. 5448
    “…It can be controlled using a simple-to-use graphical user interface, or using Python scripting. RESULTS: SM2 is shown to have the following strengths: (1) high accuracy at identifying Ca release events, clearly outperforming previous highly successful software SparkMaster; (2) multiple types of Ca release events can be identified using SM2: Ca sparks, waves, miniwaves, and long sparks; (3) SM2 can accurately split and analyze individual sparks within spark clusters, a capability not handled adequately by prior tools. …”
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    SparkMaster 2: A New Software for Automatic Analysis of Calcium Spark Data
  9. 5449
    “…A cloud-based webserver implementation of ISLAND and its python code are available at https://sites.google.com/view/wajidarshad/software. …”
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    ISLAND: in-silico proteins binding affinity prediction using sequence information
  10. 5450
    “…AVAILABILITY AND IMPLEMENTATION: As part of our contributions in the paper, we develop an easy-to-use Python package with detailed instructions, BioNEV, available at: https://github.com/xiangyue9607/BioNEV, including all source code and datasets, to facilitate studying various graph embedding methods on biomedical tasks. …”
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    Graph embedding on biomedical networks: methods, applications and evaluations
  11. 5451
    “…Solid tumor volumes were segmented semiautomatically. 107 features were extracted for each sequence (Pyradiomics, Python). Features were tested for stability against labelling variations, selecting those presenting Intraclass Correlation Coefficient (ICC)>0.9 across all labelling variations and all sequences. …”
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    IMG-19. RADIOMICS AND SUPERVISED DEEP LEARNING TO PREDICT MOLECULAR SUBGROUPS IN MEDULLOBLASTOMA BASED ON WHOLE TUMOR VOLUME LABELING: A SINGLE CENTER MULTIPARAMETRIC MR ANALYSIS
  12. 5452
    “…Linear regression analysis between biomarkers and the apnea hypopnea index (AHI) showed a high correlation, which reached [Formula: see text] . The resulting python OBM toolbox, denoted “pobm”, was contributed to the open software PhysioZoo (physiozoo.org). …”
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    Digital oximetry biomarkers for assessing respiratory function: standards of measurement, physiological interpretation, and clinical use
  13. 5453
    “…The model for lymph node metastasis was established with python machine learning. The Gbdt algorithm in the machine learning results finds that number of resected nodes, lymphovascular invasion and tumor size are the primary 3 factors that account for the weight of LNM. …”
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    Machine learning predicts lymph node metastasis of poorly differentiated-type intramucosal gastric cancer
  14. 5454
    “…We then analyse 228 narratives of lived experiences from patients with mental disorders, using Python code script, to demonstrate that patients with the same diagnosis have very different illness experiences. …”
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    Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients
  15. 5455
    “…We address these problems for the representative case of the CA1 pyramidal cell of the rat hippocampus by developing an open-source Python test suite, which makes it possible to automatically and systematically test multiple properties of models by making quantitative comparisons between the models and electrophysiological data. …”
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    HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data
  16. 5456
    “…To achieve the goal, a test of 20 python questions was conducted on 120 students with each question having difficulty given by 8 field experts. …”
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    Question paper generation through progressive model and difficulty calculation on the Promexa Mobile Application
  17. 5457
    “…We implemented our algorithms into FOntCell, a software module in Python for efficient automatic parallel-computed merging/fusion of ontologies in the same or similar knowledge domains. …”
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    FOntCell: Fusion of Ontologies of Cells
  18. 5458
    “…Their clinical data were collected in the database until 46 months of follow-up, and the Python packages Pandas (version 0.22.0) and scikit-learn (version 0.21.3) were used for data analysis. …”
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    Kidney Function After Liver Transplantation in a Single Center
  19. 5459
    “…Validity metrics of the ELISPOT testing results were calculated (Python 3.6.8) in relation to the clinical responsiveness in the 2 treatment groups. …”
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    B-Cell Activity Predicts Response to Glatiramer Acetate and Interferon in Relapsing-Remitting Multiple Sclerosis
  20. 5460
    por Sabri, Zaid Saeb, Li, Zhiyong
    Publicado 2021
    “…The system program is coded in Python, and a convolutional neural network (CNN) is used to perform recognition. …”
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    Low-cost intelligent surveillance system based on fast CNN
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