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  1. 5341
    “…Os dados foram processados utilizando-se Python 3.0 e pacotes específicos para análise descritiva, regressão e clusterização. …”
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    Influência da Gordura do Braço sobre Medida Indireta da Pressão Sanguínea: Uma Abordagem Estatística e de Machine Learning
  2. 5342
    “…CONCLUSION: CST offers a path to improve CNN performance without the need for more data and allows customizing distortions to specific use cases. A python implementation of CST is publicly available at https://github.com/TIGACenter/CST_v1.…”
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    CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology
  3. 5343
    “…We compared OS with the log rank test using the Python package kaplanmeier between the various clinical, demographic and treatment (including treatment sequence) related variables. …”
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    SDPS-37 IDENTIFICATION OF TIME-COURSE RELATED, TREATMENT-RELATED, AND PATIENT-RELATED PROGNOSTIC FACTORS IN BRAF-MUTANT MELANOMA BRAIN METASTASES.
  4. 5344
    “…We offer a theoretical framework along with a python toolbox called deconvolve to provide guidance on the optimal design parameters that will be of particular utility when using non-random, alternating event sequences in experimental designs. …”
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    Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs
  5. 5345
    “…The registration module is built upon the Ardent python package that performs deformable 2D registration between the brain slice to its corresponding atlas. …”
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    Localization and Registration of 2D Histological Mouse Brain Images in 3D Atlas Space
  6. 5346
    “…Statistics and data analysis were performed using Python libraries: pandas, scipy.stats, and seaborn. …”
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    Misinterpretations of Significance Testing Results Near the P-Value Threshold in the Urologic Literature
  7. 5347
    “…The treatment log file was further analyzed using Pylinac (V2.4.0 (Open Source Code library available on Github, runs under Python programming language)) to compare the dosimetric outcome of RA and IMRT. …”
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    Application of a Comprehensive Treatment Planning Test for Credentialing Intensity-Modulated Radiotherapy and RapidArc in a TrueBeam Linear Accelerator Setup
  8. 5348
    “…The output of the optimal model was explained using the Python package (SHapley Additive exPlanations, SHAP). …”
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    Prediction of 5-year overall survival of tongue cancer based machine learning
  9. 5349
    “…AVAILABILITY AND IMPLEMENTATION: The datasets are available as supplemental data at Bioinformatics online. A python script to convert amino acid and nucleotide sequences from single-letter codes to SD files is available at https://github.com/SmirnygaTotoshka/SequenceToSDF. …”
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    Prediction of pathogenic single amino acid substitutions using molecular fragment descriptors
  10. 5350
    “…Data were processed in HOMER, Genome Studio, and edgeR programs, and metadata was analyzed by online bioinformatics tools and in R and Python environments. ATAC-seq analyses showed the TFs genomic regions are more accessible in l-PDLCs than in h-PDLCs. …”
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    Analyzes In Silico Indicate the lncRNAs MIR31HG and LINC00939 as Possible Epigenetic Inhibitors of the Osteogenic Differentiation in PDLCs
  11. 5351
    “…Here we introduce the BIDS App Bootstrap (BABS), a user-friendly and generalizable Python package for reproducible image processing at scale. …”
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    A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps
  12. 5352
    “…We adopted a latent Dirichlet allocation topic modeling method on the Python platform to analyze the research topics of the scientific publications. …”
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    A systematic review of progress on hepatocellular carcinoma research over the past 30 years: a machine-learning-based bibliometric analysis
  13. 5353
    “…Text mining using roBERTA (Robustly Optimized Bert Pretraining approach) python library was used to identify the polarity of people’s attitude as "negative", "positive" or "neutral" based on tweets. …”
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    People’s perceptions on COVID-19 vaccination: an analysis of twitter discourse from four countries
  14. 5354
    “…Our research group has developed the python-based normative modelling package Predictive Clinical Neuroscience toolkit (PCNtoolkit) which provides access to many validated algorithms for normative modelling. …”
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    Predictive Clinical Neuroscience Portal (PCNportal): instant online access to research-grade normative models for clinical neuroscientists.
  15. 5355
    “…METHODS: An automated pipeline was developed and executed nightly, utilizing python scripts to interact with the clinical database through DICOM networking protocol and automate data retrieval and analysis. …”
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    Proof‐of‐concept study of artificial intelligence‐assisted review of CBCT image guidance
  16. 5356
    “…This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. …”
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    MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation
  17. 5357
    “…Here we describe PyCreas, an open-source tool written in Python that allows semi-automated analysis of islet cell distribution based on images of pancreatic sections stained by immunohistochemistry or immunofluorescence. …”
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    PyCreas: a tool for quantification of localization and distribution of endocrine cell types in the islets of Langerhans
  18. 5358
    “…METHODS: We constructed an automatic screening framework based on Python to compare the microbial proteomes of 78 BCC strains and 263 non-BCC strains to identify BCC-specific protein sequences. …”
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    Specific biomarker mining and rapid detection of Burkholderia cepacia complex by recombinase polymerase amplification
  19. 5359
    “…Isolated hearts from guinea pigs and rats were loaded with a potentiometric dye (RH237) and/or calcium indicator dye (Rhod-2AM) and fluorescent signals were acquired. We used Python 3.8.5 programming language to develop the KairoSight-3.0 software. …”
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    KairoSight-3.0: A validated optical mapping software to characterize cardiac electrophysiology, excitation-contraction coupling, and alternans
  20. 5360
    “…We ran a self-developed Python program to mine the database after adding three variables, namely, the number of supermarkets around, the average distance to medical institutions designated to be covered by basic medical insurance (hereinafter referred to as “designated medical institutions”), and the presence of parks around, and then used the least squares method in regression analysis. …”
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    Progressive Relationship Between Sustainable Development of Elderly Care Institutions and Spatial Environmental Factors: A Study Based on the Influence of Supermarkets, Medical Accessibility, and Parks in Urban Areas
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