Suchergebnisse - (( (state 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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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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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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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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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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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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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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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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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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Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code von Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

“… Cyanotoxins called microcystins (MCs) are highly toxic and can be present in drinking water sources. Determining the structure of MCs is paramount because of …”
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What R and Python programming languages bring to the table von Aller, Raymond D, Weiner, Hal

“… The two most widely used open-source big data analysis tools-R and Python-are proving their mettle in the clinical laboratory …”
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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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Development of an Interactive Code for Quick Data Analyses between STOR-M Tokamak Experimental Plasma Discharges von Nakajima, Masaru, Basu, Debjyoti, Melnikov, Alexander V., McColl, David, Xiao, Chijin

“… ) tokamak operation, Ohmic H-mode triggering by the electrode biasing, fueling and momentum injection by Compact Torus (CT …”
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PyLAT: Python LAMMPS Analysis Tools von Humbert, Michael T, Zhang, Yong, Maginn, Edward J

“… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT …”
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GSEApy: a comprehensive package for performing gene set enrichment analysis in Python von Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

“… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
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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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Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics von Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

“… Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics …”
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