Výsledky vyhľadávania - (( (state OR state:ct) python code analysis ) OR ( stat python code analysis ))*

Analysis of Concrete Air Voids: Comparing OpenAI-Generated Python Code with MATLAB Scripts and Enhancing 2D Image Processing Using 3D CT Scan Data Autor Asadi, Iman, Shpak, Andrei, Jacobsen, Stefan

“… This study explored the use of ChatGPT, an AI tool, to generate Python code for analyzing air void parameters in hardened concrete, such as total air void content (A), specific surface (α…”
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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration Autor Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

“…: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal…”
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Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

“…The main purpose of many medical studies is to estimate the effects of a treatment or exposure on an outcome. However, it is not always possible to randomize…”
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LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data Autor Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

“… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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Percolation theory using Python Autor Malthe-Sørenssen, Anders

“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes…”
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Statistics Using Python Autor Campesato, Oswald

“…This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors…”
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FHIR-PYrate: a data science friendly Python package to query FHIR servers Autor Hosch, René, Baldini, Giulia, Parmar, Vicky, Borys, Katarzyna, Koitka, Sven, Engelke, Merlin, Arzideh, Kamyar, Ulrich, Moritz, Nensa, Felix

“…Background We present FHIR-PYrate, a Python package to handle the full clinical data collection and extraction process…”
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Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data Autor Pakkir Shah, Abzer K., Walter, Axel, Ottosson, Filip, Russo, Francesco, Navarro-Diaz, Marcelo, Boldt, Judith, Kalinski, Jarmo-Charles J., Kontou, Eftychia Eva, Elofson, James, Polyzois, Alexandros, González-Marín, Carolina, Farrell, Shane, Aggerbeck, Marie R., Pruksatrakul, Thapanee, Chan, Nathan, Wang, Yunshu, Pöchhacker, Magdalena, Brungs, Corinna, Cámara, Beatriz, Caraballo-Rodríguez, Andrés Mauricio, Cumsille, Andres, de Oliveira, Fernanda, Dührkop, Kai, El Abiead, Yasin, Geibel, Christian, Graves, Lana G., Hansen, Martin, Heuckeroth, Steffen, Knoblauch, Simon, Kostenko, Anastasiia, Kuijpers, Mirte C. M., Mildau, Kevin, Papadopoulos Lambidis, Stilianos, Portal Gomes, Paulo Wender, Schramm, Tilman, Steuer-Lodd, Karoline, Stincone, Paolo, Tayyab, Sibgha, Vitale, Giovanni Andrea, Wagner, Berenike C., Xing, Shipei, Yazzie, Marquis T., Zuffa, Simone, de Kruijff, Martinus, Beemelmanns, Christine, Link, Hannes, Mayer, Christoph, van der Hooft, Justin J. J., Damiani, Tito, Pluskal, Tomáš, Dorrestein, Pieter, Stanstrup, Jan, Schmid, Robin, Wang, Mingxun, Aron, Allegra, Ernst, Madeleine, Petras, Daniel

“… We provide explanations and code in two scripting languages (R and Python) as well…”
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From code to reliability: Python-powered Paraconsistent Logic for alarm detection in the power gris/ Do codigo a confiabilidade: Logica Paraconsistente impulsionada por Python para a deteccao de alarmes na rede de energia Autor de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

“… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems Autor Padovan, Alberto, Anantharaman, Vishal, Rowley, Clarence W., Vollmer, Blaine, Colonius, Tim, Bodony, Daniel J.

“…In this paper, we present resolvent4py, a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom…”
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Comprehensive framework of GPU-accelerated image reconstruction for photoacoustic computed tomography Autor Wang, Yibing, Li, Changhui

“…Photoacoustic computed tomography (PACT) is a promising non-invasive imaging technique for both life science and clinical implementations. To achieve fast…”
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Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis Autor Strona, Giovanni, Galli, Paolo, Seveso, Davide, Montano, Simone, Fattorini, Simone

“…Recent theoretical advances in nestedness analysis have led to the introduction of several alternative metrics to overcome most of the problems biasing the use of matrix 'temperature' calculated…”
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Utilizing the open-source programming language Python to create interactive Quality Assurance dashboards for diagnostic and screening performance in Cytology Autor Kovács, István, Székely, Tamás, Pogány, Péter, Takács, Szabolcs, Erős, Mónika, Járay, Balázs

“… As a comprehensive solution, we used the Python programming language to create a dashboard application for screening and diagnostic quality metrics…”
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An image-based modeling framework for patient-specific computational hemodynamics Autor Antiga, Luca, Piccinelli, Marina, Botti, Lorenzo, Ene-Iordache, Bogdan, Remuzzi, Andrea, Steinman, David A.

“… The framework takes advantage of the integration of image processing, geometric analysis and mesh generation techniques, with an accent on full automation and high-level interaction…”
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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning Autor Müller, Dominik, Kramer, Frank

“… analysis, metrics, a library with state-of-the-art deep learning models and model utilization like training, prediction, as well as fully automatic evaluation (e.g. cross-validation…”
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Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data Autor Höpfl, Sebastian, Albadry, Mohamed, Dahmen, Uta, Herrmann, Karl-Heinz, Kindler, Eva Marie, König, Matthias, Reichenbach, Jürgen Rainer, Tautenhahn, Hans-Michael, Wei, Weiwei, Zhao, Wan-Ting, Radde, Nicole Erika

“…Motivation Systems biology aims to better understand living systems through mathematical modelling of experimental and clinical data. A pervasive challenge in…”
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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab Autor Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“… This study aimed to design a hypothetical learning trajectory (HLT) for developing CT using Python programming on Google Colab…”
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Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX Autor Blackledge, Matthew D., Collins, David J., Koh, Dow-Mu, Leach, Martin O.

“…We present pyOsiriX, a plugin built for the already popular dicom viewer OsiriX that provides users the ability to extend the functionality of OsiriX through simple Python scripts…”
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When Does Scaffolding Provide Too Much Assistance? A Code-Tracing Tutor Investigation Autor Jennings, Jay, Muldner, Kasia

“… To address this, we designed a Code Tracing  (CT)-Tutor. We varied the level of assistance provided in the tutor, based on (1…”
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A new database website for nuclear level densities Autor Rathi, Chirag, Voinov, Alexander, Godbey, Kyle, Meisel, Zach, Leibensperger, Kristen

“… Built using the Dash framework in Python, the database is designed to be interactive and user-friendly, allowing researchers to search, visualize, fit, and export NLD data with minimal effort…”
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