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  1. 5861
    “…CONCLUSIONS: MethGET is a Python software that correlates DNA methylation and gene expression. …”
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    MethGET: web-based bioinformatics software for correlating genome-wide DNA methylation and gene expression
  2. 5862
    “…These APIs allow users to write code in languages like Python to retrieve sample data directly from Google servers. …”
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    Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework
  3. 5863
    “…A logistic regression model was established to predict AIS risk. Python software (Version 3.6) was used for the statistical analysis of all data. …”
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    Association between carotid intima media thickness and small dense low-density lipoprotein cholesterol in acute ischaemic stroke
  4. 5864
    “…Calculations of Hill-based dissimilarity indices in combination with a null model can be done in qdiv, which is freely available as a Python package (https://github.com/omvatten/qdiv). …”
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    Hill-based dissimilarity indices and null models for analysis of microbial community assembly
  5. 5865
    “…ARIMA was implemented by python with the help of statsmodels. SVM was accomplished by matlab with libSVM library. …”
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    Prediction of hepatitis E using machine learning models
  6. 5866
    por Wang, Di, Lyu, Joanne Chen, Zhao, Xiaoyu
    Publicado 2020
    “…From January 1, 2017, to December 31, 2019, Python was used to text mine the most frequently used words and phrases in public e-cigarette discussions on Zhihu. …”
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    Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis
  7. 5867
    por Lee, Geun Hyeong, Shin, Soo-Yong
    Publicado 2020
    “…METHODS: To evaluate FL in a realistic setting, we implemented FL using a client-server architecture with Python. The implemented client-server version of the FL software was deployed to Amazon Web Services. …”
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    Federated Learning on Clinical Benchmark Data: Performance Assessment
  8. 5868
    “…For each ROI, 154 radiomic features were extracted using an in-house developed software implementation (Z-Rad, Python v2.7.14). Features robust against delineation variability served as an input for a multivariate logistic regression analysis. …”
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    Radiomics Feature Activation Maps as a New Tool for Signature Interpretability
  9. 5869
    “…Analysis conducted using Microsoft Excel and Python Statsmodel library v0.11.1. RESULTS: A segmented regression model was successfully fitted with R^2 = 0.73 (Figure 1). …”
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    74. Interrupted Time Series Analysis of the Impact of Fluoroquinolone Cascade Reporting
  10. 5870
    por Cui, Tao, Wang, Tingting
    Publicado 2021
    “…CONCLUSIONS: Taken together, the JOINT algorithm is accurate and efficient for large-scale scRNA-Seq data analysis via parallel computing. The Python package that we have developed can be readily applied to aid future advances in parallel computing-based single-cell algorithms and research in various biological and biomedical fields. …”
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    JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing
  11. 5871
    “…LightCUD was implemented in Python and packaged free for installation with customized databases. …”
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    LightCUD: a program for diagnosing IBD based on human gut microbiome data
  12. 5872
    “…METHODS: We collected posts related to COVID-19 misinformation published on major Chinese social media platforms from January 20 to May 28, 2020, by using PythonToolkit. We used content analysis to identify the quantity and source of prevalent posts and topic modeling to cluster themes related to the COVID-19 infodemic. …”
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    Characterizing the COVID-19 Infodemic on Chinese Social Media: Exploratory Study
  13. 5873
    “…Advanced users can use PartSeg components as a library within Python data processing and visualisation pipelines, for example within Jupyter notebooks. …”
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    PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies
  14. 5874
    “…METHODS: We curated all COVID-19–related posts from Sina Weibo (China’s version of Twitter) during the initial outbreak and resurgence of COVID-19 in Beijing, China. With a Python script, we constructed subsets of Weibo posts focusing on 3 containment measures: lockdown, the test-trace-isolate strategy, and suspension of gatherings. …”
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    Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study
  15. 5875
    “…Three robust ML classification techniques were implemented using Python 3.7 (LightGBM, RF, and XGBoost) for predicting ARDS severity over time. …”
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    Novel criteria to classify ARDS severity using a machine learning approach
  16. 5876
    “…METHODS: Leprosy data were extracted from the SINAN database, carefully cleaned, and used to build AI decision models based on the random forest algorithm to predict operational classification in paucibacillary or multibacillary leprosy. We used Python programming language to extract and clean the data, and R programming language to train and test the AI model via cross-validation. …”
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    Leprosy Screening Based on Artificial Intelligence: Development of a Cross-Platform App
  17. 5877
    “…The slides were multi spectrally imaged and custom-made python scripts enabled conversion to artificial brightfield whole-slide images (WSI). …”
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    Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning
  18. 5878
    por Becker, Ton E, Jakobsson, Eric
    Publicado 2021
    “…CONCLUSIONS: ResidueFinder is a simple, effective, and efficient program for finding individual residue mentions in primary literature starting with text files, implemented in Python, and available in SourceForge.net. The most computationally efficient versions of ResidueFinder could enable creation and maintenance of a database of residue mentions encompassing all articles in PubMed. …”
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    ResidueFinder: extracting individual residue mentions from protein literature
  19. 5879
    “…Besides the theoretical guidance, we offer SLiCE as an easy-to-use, open-source Python library.…”
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    Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology
  20. 5880
    “…Additional data on patients that required intensive care unit (ICU) admission and clinical outcomes were recorded and analyzed with Python Pandas. RESULTS: A total of 565 COVID-19 positive patients were inducted in the study out of which, 63 (11.1%) patients died while 101 (17.9%) patients required ICU admission. …”
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    Comorbidities and Risk Factors for Severe Outcomes in COVID-19 Patients in Saudi Arabia: A Retrospective Cohort Study
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