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  1. 2521
    “…We expect to make our results, datasets, and R and Python code scripts publicly available during the third quarter of 2018.…”
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    Online Artículo Texto
    Evaluating characteristics of PROSPERO records as predictors of eventual publication of non-Cochrane systematic reviews: a meta-epidemiological study protocol
  2. 2522
    “…Supporting the continued development of these applications, we have developed the SNP2SIM workflow that generates reproducible molecular dynamics and molecular docking simulations for downstream functional variant analysis. The Python workflow utilizes molecular dynamics software (NAMD (Phillips et al., J Comput Chem 26(16):1781-802, 2005), VMD (Humphrey et al., J Mol Graph 14(1):33-8, 27-8, 1996)) to generate variant specific scaffolds for simulated small molecule docking (AutoDock Vina (Trott and Olson, J Comput Chem 31(2):455-61, 2010)). …”
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    Online Artículo Texto
    SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants
  3. 2523
    por Budhwani, Henna, Sun, Ruoyan
    Publicado 2020
    “…We used Stata 16 (StataCorp) for quantitative analysis, and Python (Python Software Foundation) to plot a state-level heat map. …”
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    Online Artículo Texto
    Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data
  4. 2524
    por Kui, Balázs, Pintér, József, Molontay, Roland, Nagy, Marcell, Farkas, Nelli, Gede, Noémi, Vincze, Áron, Bajor, Judit, Gódi, Szilárd, Czimmer, József, Szabó, Imre, Illés, Anita, Sarlós, Patrícia, Hágendorn, Roland, Pár, Gabriella, Papp, Mária, Vitális, Zsuzsanna, Kovács, György, Fehér, Eszter, Földi, Ildikó, Izbéki, Ferenc, Gajdán, László, Fejes, Roland, Németh, Balázs Csaba, Török, Imola, Farkas, Hunor, Mickevicius, Artautas, Sallinen, Ville, Galeev, Shamil, Ramírez‐Maldonado, Elena, Párniczky, Andrea, Erőss, Bálint, Hegyi, Péter Jenő, Márta, Katalin, Váncsa, Szilárd, Sutton, Robert, Szatmary, Peter, Latawiec, Diane, Halloran, Chris, de‐Madaria, Enrique, Pando, Elizabeth, Alberti, Piero, Gómez‐Jurado, Maria José, Tantau, Alina, Szentesi, Andrea, Hegyi, Péter
    Publicado 2022
    “…We used the scikit‐learn, xgboost and catboost Python packages for modelling. We evaluated our models using fourfold cross‐validation, and the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), and accuracy metrics were calculated on the union of the test sets of the cross‐validation. …”
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    Online Artículo Texto
    EASY‐APP: An artificial intelligence model and application for early and easy prediction of severity in acute pancreatitis
  5. 2525
    “…METHODS: CDSS reasoning engines, usually represented as R or Python objects, are deployed into the CANE platform and converted into C# objects. …”
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    Online Artículo Texto
    Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study
  6. 2526
    “…We hypothesize that such mutations are likely to cluster with specific dichotomous shifts in the expression of the genes they most closely control, and propose GMMchi, a Python package that leverages Gaussian Mixture Modeling to detect and characterize bimodal gene expression patterns across cancer samples, as a tool to analyze such correlations using 2 × 2 contingency table statistics. …”
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    Online Artículo Texto
    GMMchi: gene expression clustering using Gaussian mixture modeling
  7. 2527
    “…Deployment on Windows is possible but it requires the prior installation of Rtools and Python 3. RESULTS: APPINetwork allows the user to build a PPI network from selected public databases and add their own PPI data. …”
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    Online Artículo Texto
    APPINetwork: an R package for building and computational analysis of protein–protein interaction networks
  8. 2528
    “…RESULTS: Here a software package written in Python, ‘WGDTree’ for the analysis of duplicate gene retention following whole genome duplication events is presented. …”
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    Online Artículo Texto
    WGDTree: a phylogenetic software tool to examine conditional probabilities of retention following whole genome duplication events
  9. 2529
    “…RESULTS: We present robustica, a Python-based package to compute robust independent components with a fully customizable clustering algorithm and distance metric. …”
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    Online Artículo Texto
    robustica: customizable robust independent component analysis
  10. 2530
    “…After the data set was created from the signal data produced by the heard and unheard sounds in the brain, machine learning processes were carried out with the PYTHON programming language. The raw data created with MATLAB was taken with the Python programming language, and after the pre-processing steps were completed, machine learning methods were applied to the classification algorithms. …”
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    Online Artículo Texto
    A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain’s Electrical Activity Signals
  11. 2531
    “…Furthermore, our approach was faster than the standard decision tree implementations in R (0.62 s) and equal to Python (0.08 s), also using CSV files as input for small datasets. …”
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    Online Artículo Texto
    Decision tree learning in Neo4j on homogeneous and unconnected graph nodes from biological and clinical datasets
  12. 2532
    “…A software program has been developed with Python, and all the commands are sent to the DAQ board through Gigabit Ethernet by this program. …”
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    Development of an ADC Radiation Tolerance Characterization System for the Upgrade of the ATLAS LAr Calorimeter
  13. 2533
    por Heo, Seong-Gu
    Publicado 2011
    “…The event analysis and histogram codes were implemented by C and Python language respectively. The effects of pileup events were well shown in the track multiplicity. …”
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    The Effects of Pileup Events with 7 TeV Proton-Proton Collision Data in the LHC
  14. 2534
    por Casajús Ramo, A, Graciani Díaz, R
    Publicado 2006
    “…DIRAC is mostly coded in python. DIRAC security infrastructure has been designed to be a completely generic XML-RPC transport over a SSL tunnel. …”
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    DIRAC Security
  15. 2535
    “…The powerful API combined with Python and Java bindings can easily be used to build new services for job control and data transfer. …”
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    The Next Generation ARC Middleware and ATLAS Computing Model
  16. 2536
    “…The LineBuilder is a Python program aimed at dynamically assembling complex FLUKA models of accelerator beam lines: positions, magnetic fields and scorings are automatically set up, and geometry details such as apertures of collimators, tilting and misalignment of elements, beam pipes and tunnel geometries can be entered at user’s will. …”
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    The Fluka Linebuilder and Element Database: Tools for Building Complex Models of Accelerators Beam Lines
  17. 2537
    “…All the system components are implemented as a set of cooperating python classes following the design choice of LHCb. …”
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    A Lightweight Monitoring and Accounting System for LHCb DC'04 Production
  18. 2538
    “…All the system components are implemented as a set of cooperating python classes following the design choice of LHCb. …”
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    A Lightweight Monitoring and Accounting System for LHCb DC'04 Production
  19. 2539
    “…The data collector is a daemon, implemented in Python, responsible for data gathering from the central monitoring repository and storing into time series data structures. …”
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    New data visualization of the LHC Era Monitoring (Lemon) system
  20. 2540
    por Igel, Heiner
    Publicado 2016
    “…The results can be reproduced with the supplementary electronic material provided as Python codes embedded in Jupyter notebooks. The volume starts with a primer on the physics of elastic wave propagation, and a chapter on the fundamentals of parallel programming, computational grids, mesh generation, and hardware models. …”
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    Computational seismology: a practical introduction
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