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  1. 4801
    “…Amongst these techniques, DeepLabCut, a Python-based tracking toolbox using transfer learning with deep neural networks, offers the possibility to track different body parts with unprecedented accuracy. …”
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    Visual Field Analysis: A reliable method to score left and right eye use using automated tracking
  2. 4802
    “…We used R for the statistical analysis and constructed the machine learning prediction model in Python. RESULTS: The top 5 weighting factors for difficult airways identified by the average algorithm in machine learning were age, sex, weight, height, and BMI. …”
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    Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms
  3. 4803
    “…APAview server runs on Python3 with a Flask framework and a Jinja2 templating engine. …”
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    APAview: A web-based platform for alternative polyadenylation analyses in hematological cancers
  4. 4804
    Publicado 2020
    “…After selecting each representative transverse or longitudinal US image, we created a data set from the resulting database of 898 images after augmentation. The Python 2.7.6 and Keras 2.1.5 framework for neural networks were used for deep learning with a convolutional neural network. …”
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    Deep Learning in Thyroid Ultrasonography to Predict Tumor Recurrence in Thyroid Cancers
  5. 4805
    “…Statistical tests were done using Python statistical packages. Results: Of the 35 patients that underwent this procedure, 32 were 18 years and older. …”
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    Endoscope-Assisted Evacuation of Acute-on-Chronic Subdural Hematomas: A Single-Center Series
  6. 4806
    por Pavliuk, Olena, Kolesnyk, Halyna
    Publicado 2022
    “…Public Domain Software—the Python programming language and the Pandas library—was used for software implementation of the machine-learning method: the developed model consists of two components—analysis and prediction. …”
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    Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region
  7. 4807
    “…This is implemented in the freely available py_diAID (Python package for DIA with an automated isolation design) package. …”
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    Rapid and In-Depth Coverage of the (Phospho-)Proteome With Deep Libraries and Optimal Window Design for dia-PASEF
  8. 4808
    “…Methods: A cross-sectional survey used google forms for collecting data. Python and RStudio were used for data management and analysis. …”
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    Dengue Fever Responses in Dhaka City, Bangladesh: A Cross-Sectional Survey
  9. 4809
    “…The package utilizes Python scripts for computational efficiency and provides functionality for producing figures and summary output files. …”
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    DiNAMIC.Duo: detecting somatic DNA copy number differences without a normal reference
  10. 4810
    “…AVAILABILITY AND IMPLEMENTATION: A fully featured web application is freely available from LanceOtron.molbiol.ox.ac.uk, command line interface via python is pip installable from PyPI at https://pypi.org/project/lanceotron/, and source code and benchmarking tests are available at https://github.com/LHentges/LanceOtron. …”
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    LanceOtron: a deep learning peak caller for genome sequencing experiments
  11. 4811
    por Tian, Cong, Shao, Wenhui, Zhou, Honghai
    Publicado 2022
    “…Network X was used to visualize the networks in Python. A total of 584 DEGs were identified, of which 294 and 290 were upregulated and downregulated, respectively. …”
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    Transcriptomic analysis reveals genetic factors regulating early steroid-induced osteonecrosis of the femoral head
  12. 4812
    “…Our model is formulated in terms of tractable systems of ordinary differential equations for which we provide an open-source Python implementation. Such tractability leads to significant benefits for model calibration, exhaustive evaluation of possible parameter values, and interpretability of results. …”
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    A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic
  13. 4813
    “…Machine learning models were constructed, and model performance was evaluated by machine learning methods in Python. The models were visualized and interpreted using the Shapley Additive explanation (SHAP) method. …”
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    An application based on bioinformatics and machine learning for risk prediction of sepsis at first clinical presentation using transcriptomic data
  14. 4814
    “…To solve the clustering problem, the Python k-means and k-means++ algorithm were used. …”
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    Components of Oranta-AO software expert system for innovative application of blood pressure monitors
  15. 4815
    por Mishra, Sambit Kumar
    Publicado 2022
    “…PSP-GNM is written in Python and can be downloaded as a stand-alone code.…”
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    PSP-GNM: Predicting Protein Stability Changes upon Point Mutations with a Gaussian Network Model
  16. 4816
    “…In this regard, a sample of 500 data has been collected to train and test on computer through python for selecting the best model that will outperform all the other models. …”
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    Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach
  17. 4817
    por Xu, Qiang, Liu, Hanlin, Chen, Yi, Tian, Kexin
    Publicado 2022
    “…In response, this study integrates knowledge-based view to examine how a firm’s digitalization affects ambidextrous innovation, and further explore the conjoint effect of industrial knowledge bases—the knowledge base of the industry the firm is located in—on the relationship between firm digitalization level and ambidextrous innovation. This study uses Python to conduct text mining of firms’ annual reports, and obtains data of 394 listed companies from the year 2014 to 2020. …”
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    Understanding cognitive differences in the effect of digitalization on ambidextrous innovation: Moderating role of industrial knowledge base
  18. 4818
    por Reveil, Mardochee, Chen, Yao-Hsuan
    Publicado 2022
    “…The proposed modeling framework, implemented in Python and now available to the public in an open-source platform, enables such strategy evaluation.…”
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    Predicting and preventing COVID-19 outbreaks in indoor environments: an agent-based modeling study
  19. 4819
    “…Chlorhexidine droplets, placed in proximity to Bacillus subtilis macrocolonies at different distances result in morphological changes, quantified using Python-based code, which we have made publicly available. …”
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    An open-source computational tool for measuring bacterial biofilm morphology and growth kinetics upon one-sided exposure to an antimicrobial source
  20. 4820
    “…The application is implemented in Python, PostgreSQL and PostGIS, RabbitMQ, and NGINX, with all major browsers supported. …”
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    medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata
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