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Python (Lenguaje de programación)
60
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9
Aprendizaje automático (Inteligencia artificial)
5
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5
Raspberry Pi (Computadora)
5
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5241“…By solving the replicated dynamic equations and the Jacobian matrix, the influences of the change in initial conditions and decision parameters on the evolutionary stability results are revealed, and numerical experiments are carried out by using the Python programming language. This paper claims that the system presents three evolutionary stable results and a periodic stochastic state when the key parameters are located in different thresholds. …”
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5242“…Our method BiRGRN is implemented in Python using the TensorFlow machine-learning library, and it is freely available at https://gitee.com/DHUDBLab/bi-rgrn.…”
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5243“…Finally, these results are analyzed with a textual analysis developed in Python. Based on the results, we identify 8 topics, of which 5 are positive (Automation, Data, Forecasting, Mobile accessibility and Employee experiences), 1 topic is negative (Intelligence Security), and 2 topics are neutral (Operational CRM, Digital teams). …”
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5244por Bai, Cui, Zhang, Meng, Zhang, Yiran, He, Yixiong, Dou, Huaiqian, Wang, Ziyue, Wang, Zhiliang, Li, Zipu, Zhang, Lijuan“…All data were analyzed with SPSS, RStudio V.1.3.1073, and python libraries 3.8. RESULTS: Thirty-eight out of 44 diseases had significantly increased (p < 0.001) circulating GGT activities, whereas gastric cancer, anemia, renal cyst, cervical cancer, preeclampsia, and knee-joint degenerative diseases had significantly decreased (p < 0.001) GGT activities compared to the healthy control. …”
Publicado 2022
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5245“…We used Excel to analyze the data, Python and NCBIs Entrez Programming Utilities to analyze MeSH terms, and VOSviewer to produce the visualizations. …”
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5246por Cioppa, Anthony, Deliège, Adrien, Giancola, Silvio, Ghanem, Bernard, Van Droogenbroeck, Marc“…Derived tasks may benefit from these annotations, like camera calibration, player localization, team discrimination and multi-view re-identification, which can further sustain practical applications in augmented reality and soccer analytics. Finally, we provide Python codes to easily download our data and access our annotations.…”
Publicado 2022
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5247por Erdem, Cemal, Mutsuddy, Arnab, Bensman, Ethan M., Dodd, William B., Saint-Antoine, Michael M., Bouhaddou, Mehdi, Blake, Robert C., Gross, Sean M., Heiser, Laura M., Feltus, F. Alex, Birtwistle, Marc R.“…Here, we developed a python-based model creation and simulation pipeline that converts a few structured text files into an SBML standard and is high-performance- and cloud-computing ready. …”
Publicado 2022
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5248por Bueschl, Christoph, Doppler, Maria, Varga, Elisabeth, Seidl, Bernhard, Flasch, Mira, Warth, Benedikt, Zanghellini, Juergen“…PeakBot is implemented in python (3.8) and uses the TensorFlow (2.5.0) package for machine-learning related tasks. …”
Publicado 2022
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5249por Bacsu, Juanita-Dawne R, O'Connell, Megan E, Cammer, Allison, Ahmadi, Soheila, Berger, Corinne, Azizi, Mehrnoosh, Gowda-Sookochoff, Rory, Grewal, Karl S, Green, Shoshana, Knight, Sheida, Spiteri, Raymond J“…METHODS: Using the Twint application in Python, we collected 6243 relevant tweets over a 15-month time frame. …”
Publicado 2022
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5250Single-cell specific and interpretable machine learning models for sparse scChIP-seq data imputationpor Albrecht, Steffen, Andreani, Tommaso, Andrade-Navarro, Miguel A., Fontaine, Jean Fred“…AVAILABILITY AND IMPLEMENTATION: Our interpretable imputation algorithm was implemented in Python and is available at https://github.com/salbrec/SIMPA.…”
Publicado 2022
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5251por Setu, Md Asif Khan, Schmidt, Stefan, Musial, Gwen, Stern, Michael E., Steven, Philipp“…The CNF morphology, number of nerves, number of branching points, nerve length, and tortuosity were analyzed; for DCs, number, size, and immature–mature cells were analyzed. Python-based software was written for model training, testing, and automatic morphometric parameters evaluation. …”
Publicado 2022
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5252“…Its software implementation in Python, LigninGraphs, is open-source and available on GitHub. …”
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5253por Agius, Dylan, Mamun, Abdullah Al, Truman, Christopher, Mostafavi, Mahmoud, Knowles, David“…The presented tool also includes Python code designed to link with microstructures built using DREAM.3D to extract the required input data to the Fortran subroutine. …”
Publicado 2022
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5254“…We combined omics preprocessing methods inspired by previous efforts with in-house implementations of existing CSM algorithms and new model refinement and validation routines, all implemented in the Troppo Python-based open-source framework. The pipeline was validated with multi-omics datasets from the Cancer Cell Line Encyclopedia (CCLE), also including reference fluxomics measurements for the MCF7 cell line. …”
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5255por Neishabouri, Ali, Nguyen, Joe, Samuelsson, John, Guthrie, Tyler, Biggs, Matt, Wyatt, Jeremy, Cross, Doug, Karas, Marta, Migueles, Jairo H., Khan, Sheraz, Guo, Christine C.“…Recognizing the importance of data transparency, interpretability and interoperability to both research and clinical use, we here describe the detailed counts algorithms of five generations of ActiGraph devices going back to the first AM7164 model, and publish the current counts algorithm in ActiGraph’s ActiLife and CentrePoint software as a standalone Python package for research use. We believe that this material will provide a useful resource for the research community, accelerate digital health science and facilitate clinical applications of wearable accelerometry.…”
Publicado 2022
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5256por Scrima, Simone, Tiberti, Matteo, Campo, Alessia, Corcelle-Termeau, Elisabeth, Judith, Delphine, Foged, Mads Møller, Clemmensen, Knut Kristoffer Bundgaard, Tooze, Sharon A., Jäättelä, Marja, Maeda, Kenji, Lambrughi, Matteo, Papaleo, Elena“…In this context, we developed LipidDyn, a Python-based pipeline to streamline the analyses of MD simulations of membranes of different compositions. …”
Publicado 2022
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5257por Balog, Marta, Blažetić, Senka, Ivić, Vedrana, Labak, Irena, Krajnik, Bartosz, Marin, Raquel, Canerina‐Amaro, Ana, de Pablo, Daniel Pereda, Bardak, Ana, Gaspar, Robert, Szűcs, Kálmán Ferenc, Vari, Sandor G., Heffer, Marija“…Neuroplastin microenvironments were explored by analyzing immunofluorescent stainings using a newly developed Python script method. Stress reorganized glycolipid microenvironment in the Cornu Ammonis 1 (CA1) and dentate gyrus (DG) hippocampal regions of old females but in a very different fashion, thus affecting neuroplasticity. …”
Publicado 2021
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5258por Ashraf, Ghulam Md, Chatzichronis, Stylianos, Alexiou, Athanasios, Firdousi, Gazala, Kamal, Mohammad Amjad, Ganash, Magdah“…The program is coded and executed in Python and is fully and freely available for research purposes and testing the correlation between diet type and Alzheimer’s disease progression regarding various risk factors and biomarkers.…”
Publicado 2022
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5259por Martinez, Helard Becerra, Cisek, Katryna, García-Rudolph, Alejandro, Kelleher, John D., Hines, Andrew“…Twenty different classification algorithms (from Python's Scikit-learn library) are trained and evaluated, varying their hyper-parameters and the number of features received as input. …”
Publicado 2022
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5260por Mahmanzar, Mohammadamin, Houseini, Seyed Taleb, Rahimian, Karim, Namini, Arsham Mikaeili, Gholamzad, Amir, Tokhanbigli, Samaneh, Sisakht, Mahsa Mollapour, Farhadi, Amin, Kuehu, Donna Lee, Deng, Youping“…The present study analyzed mutation patterns, SARS-CoV-2 AASs retrieved from the GISAID database containing 10,500,000 samples. Python 3.8.0 programming language was utilized to pre-process FASTA data, align to the reference sequence, and analyze the sequences. …”
Publicado 2022
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