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  1. 4881
    “…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. CONTACT: atb44@pitt.edu…”
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    Online Artículo Texto
    An intrinsically interpretable neural network architecture for sequence to function learning
  2. 4882
    “…HERBS is a multi-platform open-source Python package that is available on PyPI and GitHub, and is compatible with Windows, macOS, and Linux operating systems.…”
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    Online Artículo Texto
    Histological E-data Registration in rodent Brain Spaces
  3. 4883
    “…The Mask-R-CNN model was implemented using the Keras deep learning and TensorFlow libraries with Python. We split 969 pressure injury images into training (87.5%) and validation (12.5%) subsets for Mask-R-CNN training. …”
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    Online Artículo Texto
    Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN
  4. 4884
    “…Here, we developed ViWrap, a modular pipeline written in Python. ViWrap combines the power of multiple tools into a single platform to enable various steps of virus analysis including identification, annotation, genome binning, species- and genus-level clustering, assignment of taxonomy, prediction of hosts, characterization of genome quality, comprehensive summaries, and intuitive visualization of results. …”
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    Online Artículo Texto
    ViWrap: A modular pipeline to identify, bin, classify, and predict viral-host relationships for viruses from metagenomes
  5. 4885
    “…The diagnostic abilities of the CGB3 and NOP56 genes in PAP samples were measured, and receiver operating characteristic (ROC) curves were generated using Python programming language. RESULTS: Based on the validation of CGB3 and NOP56 methylation in the 200 PAP samples, both genes exhibited higher methylation percentages in abnormal samples compared with normal samples. …”
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    Online Artículo Texto
    Identification of Malignancy in PAP Smear Samples Using the CGB3 and NOP56 Genes as Methylation Markers
  6. 4886
    “…METHODS: In this paper, we develop Bio-Epidemiology-NER (https://pypi.org/project/Bio-Epidemiology-NER/) an open-source Python package for detecting biomedical named entities from the text. …”
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    Online Artículo Texto
    Large-scale application of named entity recognition to biomedicine and epidemiology
  7. 4887
    por Park, Jeong Yun, Lee, Jinkyu, Hong, Bora
    Publicado 2023
    “…Word cloud visualization was conducted utilizing the “wordcloud” package of Python to provide a visually engaging and concise summary of information about the extracted terms. …”
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    Online Artículo Texto
    Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café
  8. 4888
    “…Streamflow forecasting is performed using an artificial neural network (ANN) in conjunction with python software. Observed precipitation and streamflow data from 1973 to 2014 are used to train and test the ANN model by 70 and 30% ratios, respectively. …”
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    Online Artículo Texto
    Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia
  9. 4889
    “…METHODS: Using PlantCV, we developed a Python‐based pipeline, herein called RootDS, with two main objectives: (1) improving disease severity phenotyping and (2) generating binary images as inputs for RSML software. …”
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    Online Artículo Texto
    An image‐based technique for automated root disease severity assessment using PlantCV
  10. 4890
    “…SPOKE is built weekly by python scripts which download each resource, check for integrity and completeness, and then create a ‘parent table’ of nodes and edges. …”
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    Online Artículo Texto
    The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information
  11. 4891
    “…Finally, we release our method as open-source software in Python and MATLAB.…”
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    A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers
  12. 4892
    “…As a first step toward addressing these challenges, we developed Robin’s Viewer (RV), a Python-based EEG viewer for annotating time-series EEG data. …”
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    Online Artículo Texto
    Robin’s Viewer: Using deep-learning predictions to assist EEG annotation
  13. 4893
    “…The two-way analysis of variance analysis results obtained using the Python package algorithm revealed that the disease incidence of the two soybean varieties, Daechan and Cheongja 3-ho, could be classified on the second and third day following inoculation, with accuracy values of 97.19% and 95.69%, respectively, thus proving his to be a useful technique for the early detection of the disease. …”
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    Online Artículo Texto
    Evaluation of Soybean Wildfire Prediction via Hyperspectral Imaging
  14. 4894
    “…The analysis method has been implemented as a freely available Python package EmaCalc, RRID:SCR 022943. The analysis model can use EMA input data including nominal categories in one or more situation dimensions, and ordinal ratings of several perceptual attributes. …”
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    Online Artículo Texto
    Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation
  15. 4895
    “…To address these challenges, we created a Python-based software package titled “Curation of BIDS” (CuBIDS), which provides an intuitive workflow that helps users validate and manage the curation of their neuroimaging datasets. …”
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    Online Artículo Texto
    Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets
  16. 4896
    “…For prediction, a variety of Machine Learning classifiers are employed, and the final results are compared with the already existing models where the Random Forest and Decision Tree classifiers outperform the others in terms of precision, recall, F-measure, and receiver operating curve (ROC) in the Python programming language. We also discovered that using k-fold cross-validation on k-neighbors, Logistic regression (LR), and Gaussian Nave Bayes (GNB) classifiers boosted the accuracy.…”
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    Online Artículo Texto
    Performance analysis and comparison of Machine Learning and LoRa-based Healthcare model
  17. 4897
    “…Taking the COVID-19 epidemic as an example, this study begins by using Python-selenium to capture the original text and comment data related to COVID-19 from Sina Microblog’s CCTV News from Jan. 19, 2020, to Feb. 20, 2020. …”
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    Text recognition and analysis of network public opinion focus events of a major epidemic: a case study of “COVID-19” in Sina Microblogs
  18. 4898
    “…Standardization of drug names was by employing MedEx-UIMA software and Python. Data analysis and visualization were performed using MySQL Workbench and R software. …”
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    Gastrointestinal perforation associated with novel antineoplastic agents: A real-world study based on the FDA Adverse Event Reporting System
  19. 4899
    “…WHALE is a generic, site indipendent tool written in python: it allows administrator to interact in a uniform and coherent way with several subsystems using a high level syntax which hides specific commands. …”
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    WHALE, a management tool for Tier-2 LCG sites
  20. 4900
    por Kolos, S, Kazarov, A, Papaevgeniou, L
    Publicado 2014
    “…The ERS API is provided in three programming languages used in the ATLAS online environment: C++, Java and Python. All APIs use exceptions for error reporting but each of them exploits advanced features of a given language to simplify program writing experience. …”
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    The Error Reporting in the ATLAS TDAQ system
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