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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 by 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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Percolation theory using Python by 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 by 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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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 by 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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Missing Value Imputation in Relational Data Using Variational Inference by Fontaine, Simon, Kang, Jian, Zhu, Ji

“…In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable downstream tasks…”
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Graph analysis and visualization: discovering business opportunity in linked data by Brath, Richard, Jonker, David

“… The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book…”
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NODESTUDIO, A VISUAL PROGRAMMING FRAMEWORK FOR MUSCULOSKELETAL MRI ANALYSIS by Mendoza, M.A., Huo, Z., Diao, Y., Jin, Y., Huang, J., Bangerter, N.K.

“… to either implement or integrate software repositories in a clinical researcher's analysis pipeline…”
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Spatial Analysis Using Big Data by Hajime Seya, Yoshiki Yamagata

“…Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems…”
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Weather Prediction Using Logistic Regression (AI/ML Techniques)

“…’ steps along with choosing responsible dependent or independent parameters called as predictors to find results or outputs by various machine learning packages of Python like ‘Pandas’, ‘SEABORN’, ‘STATS MODEL’ etc. ,under ‘SCIKIT LEARN…”
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Modelo de series de tiempo para predecir la demanda de atención de pacientes con enfermedad renal crónica, 2022 by Espinoza Melgarejo, José Luis

“…The main objective of this study is to forecast the demand for patients with chronic kidney disease in state-run healthcare facilities in Peru in 2022 using time series models, and to conduct…”
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