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  1. 4701
    por Mitra, Raktim, MacLean, Adam L
    Publicado 2021
    “…RVAgene is available in Python, at GitHub: https://github.com/maclean-lab/RVAgene; Zenodo archive: http://doi.org/10.5281/zenodo.4271097. …”
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    RVAgene: generative modeling of gene expression time series data
  2. 4702
    “…We present this methodology as MesoNet, a robust and user-friendly analysis pipeline using pre-trained models to segment brain regions as defined in the Allen Mouse Brain Atlas. This Python-based toolbox can also be combined with existing methods to facilitate high-throughput data analysis.…”
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    MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning
  3. 4703
    “…Our method is implemented in Python and uses ChimeraX, Scwrl4, Gromacs and neighbor-dependent backbone distributions compiled and published previously by the Dunbrack lab. …”
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    Online Artículo Texto
    DIPEND: An Open-Source Pipeline to Generate Ensembles of Disordered Segments Using Neighbor-Dependent Backbone Preferences
  4. 4704
    “…The models were built with in-house python scripts implementing data augmentation with the purpose of having a smoother flow between essential oils’ chemical compositions and biological data. …”
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    Online Artículo Texto
    Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition–Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils
  5. 4705
    “…The Natural Language Toolkit (NLTK) python library was utilized to perform computational text analysis to determine content and sentiment analysis to estimate the tone of posts across each platform. …”
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    Scoliosis surgery in social media: a natural language processing approach to analyzing the online patient perspective
  6. 4706
    “…Here, we developed a user-friendly Python toolkit, MutScape, which provides a comprehensive pipeline of filtering, combination, transformation, analysis and visualization for researchers, to easily explore the cohort-based mutational characterization for studying cancer genomics when obtaining somatic mutation data. …”
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    Online Artículo Texto
    MutScape: an analytical toolkit for probing the mutational landscape in cancer genomics
  7. 4707
    “…The federated ML models are determined after evaluating a set of both batch and stream ML algorithms from the Python’s libraries. The evaluation considers both the quantitative (i.e., performance in terms of accuracy, precision, root mean squared error, and F1 score) and qualitative (i.e., quality of service in terms of server latency, response time, and network latency) metrics to assess these algorithms. …”
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    Online Artículo Texto
    Hybrid-based framework for COVID-19 prediction via federated machine learning models
  8. 4708
    “…In addition to suggesting several tips for getting started with clean code and testing practices, we recommend numerous tools for the popular open-source scientific software languages Python, R, and Julia.…”
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    Online Artículo Texto
    Ten simple rules on writing clean and reliable open-source scientific software
  9. 4709
    “…The Agency for Healthcare Research and Quality checklist was used to evaluate the quality of studies. Python v3.8 was used to analyze the data. This systematic review was drafted in accordance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. …”
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    Online Artículo Texto
    Reference Interval for Pulse Oxygen Saturation in Neonates at Different Altitudes: A Systematic Review
  10. 4710
    “…AVAILABILITY AND IMPLEMENTATION: Python package and source code are available at: https://github.com/alonalj/hta. …”
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    Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging
  11. 4711
    “…Aiming at fully automating the reconstruction process of GPRs for any organism, we propose the open-source python-based framework GPRuler. By mining text and data from 9 different biological databases, GPRuler can reconstruct GPRs starting either from just the name of the target organism or from an existing metabolic model. …”
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    GPRuler: Metabolic gene-protein-reaction rules automatic reconstruction
  12. 4712
    “…To address these challenges, we developed RESCRIPt, a Python 3 software package and QIIME 2 plugin for reproducible generation and management of reference sequence taxonomy databases, including dedicated functions that streamline creating databases from popular sources, and functions for evaluating, comparing, and interactively exploring qualitative and quantitative characteristics across reference databases. …”
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    RESCRIPt: Reproducible sequence taxonomy reference database management
  13. 4713
    “…Afterward, based on the results, we boiled a highly efficient prediction model with python, and we trained and evaluated the classification model according to the performance measures (confusion matrix, classification rate, true positives rate...), then tested the model on a set of unclassified fake news on COVID-19, to predict the sentiment class of each fake news on COVID-19. …”
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    Online Artículo Texto
    Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches
  14. 4714
    “…To encourage the use of Stochastic Block Models, we developed a python library, schist, that is compatible with the popular scanpy framework. …”
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    Online Artículo Texto
    Nested Stochastic Block Models applied to the analysis of single cell data
  15. 4715
    “…The server, written in Python, provides clinically oriented and research-oriented views of tasks, including the tracking of changes over time. …”
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    Online Artículo Texto
    The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): A Secure Open-Source Client–Server System for Mobile Research and Clinical Data Capture
  16. 4716
    “…The retrieved data was sorted and analyzed using Python software. RESULTS: The results of text analytics were presented in the format of the topic label and category for individual topics. …”
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    Major concerns regarding food services based on news media reports during the COVID-19 outbreak using the topic modeling approach
  17. 4717
    “…RAPIDS is formed by a group of R and Python scripts that are executed on top of reproducible virtual environments, orchestrated by a workflow management system, and organized following a consistent file structure for data science projects. …”
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    Online Artículo Texto
    Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices
  18. 4718
    “…AVAILABILITY: An implementation of LinCR in Python is freely available at https://github.com/david-schaller/tralda.…”
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    Online Artículo Texto
    A simpler linear-time algorithm for the common refinement of rooted phylogenetic trees on a common leaf set
  19. 4719
    “…RESULTS: All the models were developed with Python libraries. The performance of the ML models was evaluated with R (2) values and the root mean square error. …”
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    Estimating the Optimal Dexketoprofen Pharmaceutical Formulation with Machine Learning Methods and Statistical Approaches
  20. 4720
    “…To automatically run the iterative optimization tasks, a source code is constructed directly in the Geotechnical Engineering Software (PLAXIS) by using Python to ensure that the operation between optimization algorithm and F.E. simulations are smooth to guarantee the accuracy of the complex calculation for the soil problem. …”
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    Forecasting of excavation problems for high-rise building in Vietnam using planet optimization algorithm
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