Suchergebnisse - (( (stat OR state:mi) python code analysis ) OR ( staten 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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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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SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data von Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

“… In this study, we updated SNPAAMapper, a variant annotation pipeline by converting perl codes to python for generating annotation output with an improved computational efficiency and updated …”
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Entropy in Image Analysis II

“… Image analysis is a fundamental task for any application where extracting information from images is required …”
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Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation von Sayed, F. Alshaima, Eid, Mohamed Hamdy, El-Sherbeeny, Ahmed M., Abdel-Gawad, Gouda Ismail, Mohamed, Essam A., Abukhadra, Mostafa R.

“… This research evaluates the environmental and health risks linked to potentially toxic elements (PTEs) and PAHs along the western coast of the Gulf of Suez, …”
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Weight-of-evidence approach to identify regionally representative sites for air-quality monitoring network: Satellite data-based analysis von Lekinwala, Nirav L, Bharadwaj, Ankur, Sunder Raman, Ramya, Bhushan, Mani, Bali, Kunal, Dey, Sagnik

“… The methodology discussed in Lekinwala et al., 2020, hereinafter referred to as the ‘parent article’, is used to setup a nation-wide network for background …”
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SCoT: a Python toolbox for EEG source connectivity von Billinger, Martin, Brunner, Clemens, Müller-Putz, Gernot R.

“… Analysis of brain connectivity has become an important research tool in neuroscience …”
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A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy von Riley, Thomas E., Watts, Anna L., Ray, Paul S., Bogdanov, Slavko, Guillot, Sebastien, Morsink, Sharon M., Bilous, Anna V., Arzoumanian, Zaven, Choudhury, Devarshi, Deneva, Julia S., Gendreau, Keith C., Harding, Alice K., Ho, Wynn C. G., Lattimer, James M., Loewenstein, Michael, Ludlam, Renee M., Markwardt, Craig B., Okajima, Takashi, Prescod-Weinstein, Chanda, Remillard, Ronald A., Wolff, Michael T., Fonseca, Emmanuel, Cromartie, H. Thankful, Kerr, Matthew, Pennucci, Timothy T., Parthasarathy, Aditya, Ransom, Scott, Stairs, Ingrid, Guillemot, Lucas, Cognard, Ismael

“… We report on Bayesian estimation of the radius, mass, and hot surface regions of the massive millisecond pulsar PSR J0740+6620, conditional on pulse-profile …”
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Potku – New analysis software for heavy ion elastic recoil detection analysis von Arstila, K., Julin, J., Laitinen, M.I., Aalto, J., Konu, T., Kärkkäinen, S., Rahkonen, S., Raunio, M., Itkonen, J., Santanen, J.-P., Tuovinen, T., Sajavaara, T.

“… The software combines a Python-language graphical front-end with a C code computing back-end in a user-friendly way …”
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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

“… Radical surgery is the primary treatment for early-stage resectable lung cancer, yet recurrence after curative surgery is not uncommon. Identifying patients at …”
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PyIOmica: longitudinal omics analysis and trend identification von Domanskyi, Sergii, Piermarocchi, Carlo, Mias, George I

“… Abstract Summary PyIOmica is an open-source Python package focusing on integrating longitudinal multiple omics datasets, characterizing and categorizing temporal trends …”
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MI-NiDIA: A scalable framework for modeling flocculation kinetics and floc evolution in water treatment von Bankole, Abayomi O., Moruzzi, Rodrigo, Negri, Rogério G., Oishi, Cassio M., Bankole, Afolashade R., James, Abraham O.

“… Unlike the existing methods that subjects Non-intrusive Dynamic Image Analysis (NiDIA) data to complex mathematical concepts, the proposed software devised a scaling …”
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Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets von Chen, Liang, Wang, Xiaohui, Peng, Tai-Quan

“… Over the last two decades, the incidence and mortality rates of gynecologic cancers have increased at a constant rate in China. Gynecologic cancers have become …”
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Quantitative analysis of mitochondrial ATP synthesis von Randall, E. Benjamin, Hock, Marcus, Lopez, Rachel, Marzban, Bahador, Marshall, Collin, Beard, Daniel A.

“… Computer codes for these analyses are embedded as Python scripts in a Jupyter Book to facilitate …”
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BannMI deciphers potential n-to-1 information transduction in signaling pathways to unravel message of intrinsic apoptosis von Schmidt, Bettina, Sers, Christine, Klein, Nadja

“… ). Information integration takes place on the protein level via n-to-1 interactions. A state-of-the-art procedure to quantify information flow (edges …”
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Using DeepLabCut for 3D markerless pose estimation across species and behaviors von Nath, Tanmay, Mathis, Alexander, Chen, An Chi, Patel, Amir, Bethge, Matthias, Mathis, Mackenzie Weygandt

“… We recently introduced an open-source toolbox called DeepLabCut that builds on a state-of-the-art human pose-estimation algorithm to allow a user to train a deep neural network with limited training …”
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Is Multitask Deep Learning Practical for Pharma? von Ramsundar, Bharath, Liu, Bowen, Wu, Zhenqin, Verras, Andreas, Tudor, Matthew, Sheridan, Robert P, Pande, Vijay

“… Our implementation enables simple python scripts to construct, fit, and evaluate sophisticated deep models …”
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Development of a microbial dose response visualization and modelling application for QMRA modelers and educators von Weir, Mark H., Mitchell, Jade, Flynn, William, Pope, Joanna M.

“… The underlying R code performs an optimization of the two primary dose response models using the MLE method and outputs statistical analyses of the fits and bootstrapped uncertainty information for the models. VizDR …”
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SCGid: a consensus approach to contig filtering and genome prediction from single-cell sequencing libraries of uncultured eukaryotes von Amses, Kevin R, Davis, William J, James, Timothy Y

“… Abstract Motivation Whole-genome sequencing of uncultured eukaryotic genomes is complicated by difficulties in acquiring sufficient amounts of tissue …”
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Analys is and Creation of Free Sentiment Analysis Programs von Mihaljević, Josip

“… This paper analyzes free online programs for sentiment analysis which can, on the bases of their algorithm, give a positive, negative or neutral opinion of a text …”
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