Suchergebnisse - (( (staten OR stat) python code analysis ) OR ( state:ct python code analysis ))

Percolation theory using Python von 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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Decoding the JAK-STAT Axis in Colorectal Cancer with AI-HOPE-JAK-STAT: A Conversational Artificial Intelligence Approach to Clinical–Genomic Integration von 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 von 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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Statistics Using Python von 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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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 von 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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Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data von 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 von 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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Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis von 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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Comprehensive framework of GPU-accelerated image reconstruction for photoacoustic computed tomography von 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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Utilizing the open-source programming language Python to create interactive Quality Assurance dashboards for diagnostic and screening performance in Cytology von 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 von 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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Bayesian modelling of time series data (BayModTS)—a FAIR workflow to process sparse and highly variable data von 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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MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning von 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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Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX von 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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Statistical Analyses and Reproducible Research von Gentleman, Robert, Temple Lang, Duncan

“… It is important, if not essential, to integrate the computations and code used in data analyses, methodological descriptions, simulations, and so on with the documents that describe and rely …”
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Facilitating the Calculation of the Efficient Score Using Symbolic Computing von B. Sibley, Alexander, Li, Zhiguo, Jiang, Yu, Li, Yi-Ju, Chan, Cliburn, Allen, Andrew, Owzar, Kouros

“… In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself …”
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Generation of Scale-Free Assortative Networks via Newman Rewiring for Simulation of Diffusion Phenomena von Di Lucchio, Laura, Modanese, Giovanni

“… By collecting and expanding several numerical recipes developed in previous work, we implement an object-oriented Python code, based on the networkX library, for the realization of the configuration …”
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A General Theorem and Proof for the Identification of Composed CFA Models von Bee, R. Maximilian, Koch, Tobias, Eid, Michael

“… Composed CFA models are frequently used in the analysis of multimethod data, longitudinal data, or multidimensional psychometric data …”
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Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer von Park, Jihwan, Rho, Mi Jung, Moon, Mi Hyoung

“… Identifying patients at high risk of recurrence using preoperative computed tomography (CT) images could enable more aggressive surgical approaches, shorter surveillance intervals, and intensified adjuvant treatments …”
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xMEN: a modular toolkit for cross-lingual medical entity normalization von Borchert, Florian, Llorca, Ignacio, Roller, Roland, Arnrich, Bert, Schapranow, Matthieu-P

“… Objective To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to …”
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