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  1. 1

    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

    ISSN: 2072-6694, 2072-6694
    Vydavateľské údaje: Switzerland MDPI AG 17.07.2025
    Vydané v Cancers (17.07.2025)
    “…: 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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    Journal Article
  2. 2

    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

    ISSN: 1520-6882, 1520-6882
    Vydavateľské údaje: United States 17.11.2020
    Vydané v Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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  3. 3

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydavateľské údaje: Cham Springer 2024
    “… 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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    E-kniha Kniha
  4. 4

    Statistics Using Python Autor Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Vydavateľské údaje: Berlin Mercury Learning and Information 2024
    “…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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  5. 5

    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

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Vydavateľské údaje: London Nature Publishing Group UK 01.01.2025
    Vydané v Nature protocols (01.01.2025)
    “… We provide explanations and code in two scripting languages (R and Python) as well…”
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  6. 6

    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

    ISSN: 2178-9010, 2178-9010
    Vydavateľské údaje: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis…”
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  7. 7

    Nestedness for Dummies (NeD): A user friendly web interface for exploratory nestedness analysis Autor Strona, Giovanni, Galli, Paolo, Seveso, Davide, Montano, Simone, Fattorini, Simone

    ISSN: 1548-7660, 1548-7660
    Vydavateľské údaje: Foundation for Open Access Statistics 01.08.2014
    Vydané v Journal of statistical software (01.08.2014)
    “…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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  8. 8

    Statistical Analyses and Reproducible Research Autor Gentleman, Robert, Temple Lang, Duncan

    ISSN: 1061-8600, 1537-2715
    Vydavateľské údaje: Alexandria Taylor & Francis 01.03.2007
    “…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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  9. 9

    Facilitating the Calculation of the Efficient Score Using Symbolic Computing Autor B. Sibley, Alexander, Li, Zhiguo, Jiang, Yu, Li, Yi-Ju, Chan, Cliburn, Allen, Andrew, Owzar, Kouros

    ISSN: 0003-1305, 1537-2731
    Vydavateľské údaje: England Taylor & Francis 03.04.2018
    Vydané v The American statistician (03.04.2018)
    “… 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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  10. 10

    Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models Autor Graham, Matthew M., Thiery, Alexandre H., Beskos, Alexandros

    ISSN: 1369-7412, 1467-9868
    Vydavateľské údaje: Oxford Oxford University Press 01.09.2022
    “…Bayesian inference for nonlinear diffusions, observed at discrete times, is a challenging task that has prompted the development of a number of algorithms,…”
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  11. 11

    False Discovery Rate Smoothing Autor Tansey, Wesley, Koyejo, Oluwasanmi, Poldrack, Russell A., Scott, James G.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Vydavateľské údaje: Alexandria Taylor & Francis 03.07.2018
    “…We present false discovery rate (FDR) smoothing, an empirical-Bayes method for exploiting spatial structure in large multiple-testing problems. FDR smoothing…”
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  12. 12

    Missing Value Imputation in Relational Data Using Variational Inference Autor Fontaine, Simon, Kang, Jian, Zhu, Ji

    ISSN: 1061-8600, 1537-2715
    Vydavateľské údaje: United States 11.07.2025
    “…In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable downstream tasks…”
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  13. 13

    Using GNU Make to Manage the Workflow of Data Analysis Projects Autor Baker, Peter

    ISSN: 1548-7660, 1548-7660
    Vydavateľské údaje: Foundation for Open Access Statistics 2020
    “…Data analysis projects invariably involve a series of steps such as reading, cleaning, summarizing and plotting data, statistical analysis and reporting…”
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  14. 14

    A Review of Adversarial Attack and Defense for Classification Methods Autor Li, Yao, Cheng, Minhao, Hsieh, Cho-Jui, Lee, Thomas C. M.

    ISSN: 0003-1305, 1537-2731
    Vydavateľské údaje: Alexandria Taylor & Francis 02.10.2022
    Vydané v The American statistician (02.10.2022)
    “…Despite the efficiency and scalability of machine learning systems, recent studies have demonstrated that many classification methods, especially Deep Neural…”
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    Graph analysis and visualization: discovering business opportunity in linked data Autor Brath, Richard, Jonker, David

    ISBN: 9781118845844, 1118845846, 1118845870, 9781118845875, 9781119183662, 1119183669, 1118845692, 9781118845691
    Vydavateľské údaje: Indianapolis WILEY 2015
    “… 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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    E-kniha Kniha
  16. 16

    Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation Autor Li, Xiaobo, Lei, Yonglin, Vangheluwe, Hans, Wang, Weiping, Li, Qun

    ISSN: 0094-9655, 1563-5163
    Vydavateľské údaje: Abingdon Taylor & Francis 03.06.2014
    “… decision models to Python code which is supported by a Python script framework to implement decision models and we present a Bayesian network-based statistical analysis method on simulation output data…”
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  17. 17

    Fitting deep neural networks into the statistical regression modelling setting Autor Ha, Il Do, Burke, Kevin

    ISSN: 2520-8756, 2520-8764
    Vydavateľské údaje: Singapore Springer Nature Singapore 01.06.2025
    “… The Appendix provides Python codes for a TensorFlow-Keras implementation so that a GLM-based DNN becomes directly accessible to interested readers, including the codes of Cox-based DNN…”
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    NODESTUDIO, A VISUAL PROGRAMMING FRAMEWORK FOR MUSCULOSKELETAL MRI ANALYSIS Autor Mendoza, M.A., Huo, Z., Diao, Y., Jin, Y., Huang, J., Bangerter, N.K.

    ISSN: 2772-6541, 2772-6541
    Vydavateľské údaje: Elsevier Ltd 2022
    Vydané v Osteoarthritis imaging (2022)
    “… to either implement or integrate software repositories in a clinical researcher's analysis pipeline…”
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    Spatial Analysis Using Big Data Autor Hajime Seya, Yoshiki Yamagata

    ISBN: 0128131322, 9780128131329
    Vydavateľské údaje: Academic Press 03.11.2019
    “…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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    E-kniha
  20. 20

    Modelo de series de tiempo para predecir la demanda de atención de pacientes con enfermedad renal crónica, 2022 Autor Espinoza Melgarejo, José Luis

    ISSN: 1996-7551, 2707-9368
    Vydavateľské údaje: 27.12.2024
    Vydané v Revista I+i (27.12.2024)
    “…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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