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  1. 4721
    “…Here, we present Flanker, a Python package that performs alignment-free clustering of gene flanking sequences in a consistent format, allowing investigation of MGEs without prior knowledge of their structure. …”
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    Flanker: a tool for comparative genomics of gene flanking regions
  2. 4722
    “…DESCRIPTION OF TOOL: To display LC-MS/MS data we built a parsing tool using Python and standard libraries to parse the XML files after each clinical run. …”
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    Listening to your mass spectrometer: An open-source toolkit to visualize mass spectrometer data
  3. 4723
    “…The google colab is an Integral development environment inbuilt with python and Jupyter notebook with scikit-learn version 0.22.1 virtually tested on cloud coding tools. …”
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    Prediction and evaluation of healthy and unhealthy status of COVID-19 patients using wearable device prototype data
  4. 4724
    “…Nvidia CNN architecture has been followed, containing nine layers including five convolution layers and three dense layers to develop the steering angle predictive model. Geoip2 (a python library) retrieves the longitude and latitude from the equipped system’s IP address to report the live geographical position to the authorities. …”
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    Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh
  5. 4725
    “…Finally, different simulation cases were performed using PYTHON software to compare with analytical results. …”
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    Mathematical modeling for COVID-19 transmission dynamics: A case study in Ethiopia
  6. 4726
    “…The association of milk bioactive components with the infant gut microbiome and fecal metabolites was determined with Python clustering and correlation analyses. Results: The HMOs in milk did not fluctuate throughout the lactation period. …”
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    Dynamic Associations of Milk Components With the Infant Gut Microbiome and Fecal Metabolites in a Mother–Infant Model by Microbiome, NMR Metabolomic, and Time-Series Clustering Analyses
  7. 4727
    “…The CNN model is constructed and executed using Anaconda Navigator interface with python language. Based on the results of this study, infections of Covid-19 disease can be easily diagnosed with MVSR normalization technique. …”
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    A novel normalization algorithm to facilitate pre-assessment of Covid-19 disease by improving accuracy of CNN and its FPGA implementation
  8. 4728
    “…Currently, the ELECTRE-MOr model is under development in a computational tool in Python, allowing the use of the method intuitively and clearly, enabling professionals of any area of expertise to apply it.…”
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    Strategic support for the distribution of vaccines against Covid-19 to Brazilian remote areas: A multicriteria approach in the light of the ELECTRE-MOr method
  9. 4729
    “…AVAILABILITY AND IMPLEMENTATION: InterARTIC is a free, open-source web application implemented in Python that executes best-practice command line workflows from the ARTIC network. …”
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    InterARTIC: an interactive web application for whole-genome nanopore sequencing analysis of SARS-CoV-2 and other viruses
  10. 4730
    por Zhang, Zeyu, Xia, Fada, Li, Xinying
    Publicado 2022
    “…Latent Dirichlet allocation was adopted to identify the research topics from the abstract of each publication using Python. RESULTS: A total of 3,301 parathyroid tumor-associated publications were identified from the past 20 years, and included in further analyses. …”
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    A Comprehensive Overview of the Parathyroid Tumor From the Past Two Decades: Machine Learning-Based Bibliometric Analysis
  11. 4731
    “…Time-series Normalized Difference Vegetation Index (NDVI) data derived from Planet’s high spatio-temporal resolution imagery, meteorological variables and yield data were used to train, test and validate the models at pixel level using Python libraries for (a) regional-scale three-paddock composite and (b) individual paddocks. …”
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    Evaluation of Random Forests (RF) for Regional and Local-Scale Wheat Yield Prediction in Southeast Australia
  12. 4732
    “…We applied a convolutional neural network (CNN) for deep learning using the Python programming language. For the classification of VFSS findings (normal swallowing, penetration, and aspiration), the classification was determined in both high-peak and low-peak images. …”
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    Deep Learning Analysis to Automatically Detect the Presence of Penetration or Aspiration in Videofluoroscopic Swallowing Study
  13. 4733
    “…Three differential phenotypic clusters (hierarchical clustering, scikit-learn library for Python, and agglomerative methods) according to systemic biomarkers: neutrophil, eosinophil, and lymphocyte counts, C reactive protein, and hemoglobin were obtained in a patient large-cohort (n = 1092). …”
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    Systemic Inflammatory Biomarkers Define Specific Clusters in Patients with Bronchiectasis: A Large-Cohort Study
  14. 4734
    “…Regression learner tools of Python are used as the reverse engineering tools for the understanding of the balance in the mathematical model, maintained by the parameters and their corresponding intervals and thresholds set by the dynamical analysis.…”
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    Forecasting of the efficiency of monoclonal therapy in the treatment of CoViD-19 induced by the Omicron variant of SARS-CoV2
  15. 4735
    por Anene, Uchenna A., Alpay, S. Pamir
    Publicado 2022
    “…Recommendations for various applications are discussed. A custom Python script to assess and visualize the hypothetical separation of two equal gas mixtures of interest is provided. …”
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    Ab Initio Study of Hydrostable Metal–Organic Frameworks for Postsynthetic Modification and Tuning toward Practical Applications
  16. 4736
    “…Secondly, take the Monte Carlo method to establish the numerical models of CBSSM with different gradations, which can generate geometric models containing randomly distributed and non-overlapping sand aggregates in Python by code. Then, import the CBSSM geometric models into the finite element platform Abaqus and implement the same boundary conditions as the test. …”
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    Interphase Effect on the Macro Nonlinear Mechanical Behavior of Cement-Based Solidified Sand Mixture
  17. 4737
    “…We provide users a public MetaLogo web server (http://metalogo.omicsnet.org), a standalone Python package (https://github.com/labomics/MetaLogo), and also a built-in web server available for local deployment. …”
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    MetaLogo: a heterogeneity-aware sequence logo generator and aligner
  18. 4738
    “…The model was implemented using Keras and Python programming.…”
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    COVID-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images
  19. 4739
    “…Afterwards, data consolidation and summarization were carried out using Excel and Python. The datasets include 9 types of disaster, such as flash floods, landslides and droughts, and the corresponding number of affected people during an 18-year or a 218-month observation period for 5,402 Brazilian municipalities, totaling more than 65,000 observations. …”
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    Brazilian disaster datasets and real-world instances for optimization and machine learning
  20. 4740
    “…A random forest model was employed in Python environments to predict the probabilities of As at concentrations >10 μg/L using intrinsic and extrinsic predictor variables, which were selected for their inherent relationship with As occurrence in groundwater. …”
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    Predicting the Distribution of Arsenic in Groundwater by a Geospatial Machine Learning Technique in the Two Most Affected Districts of Assam, India: The Public Health Implications
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