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  1. 1

    SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data by Li, Chang, Ma, Kevin, Xu, Nicole, Fu, Chenjian, He, Andrew, Liu, Xiaoming, Bai, Yongsheng

    ISSN: 2624-8212, 2624-8212
    Published: Frontiers Media S.A 12.09.2022
    Published in Frontiers in artificial intelligence (12.09.2022)
    “… 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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    Journal Article
  2. 2

    Percolation theory using Python by Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Published: 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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    eBook Book
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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

    ISSN: 2072-6694, 2072-6694
    Published: Switzerland MDPI AG 17.07.2025
    Published in 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
  6. 6

    PyIOmica: longitudinal omics analysis and trend identification by Domanskyi, Sergii, Piermarocchi, Carlo, Mias, George I

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Published: England Oxford University Press 01.04.2020
    Published in Bioinformatics (01.04.2020)
    “…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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    Journal Article
  7. 7

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial by Smith, Matthew J., Mansournia, Mohammad A., Maringe, Camille, Zivich, Paul N., Cole, Stephen R., Leyrat, Clémence, Belot, Aurélien, Rachet, Bernard, Luque‐Fernandez, Miguel A.

    ISSN: 0277-6715, 1097-0258, 1097-0258
    Published: England Wiley Subscription Services, Inc 30.01.2022
    Published in Statistics in medicine (30.01.2022)
    “…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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    Journal Article
  8. 8

    Entropy, Fidelity, and Entanglement During Digitized Adiabatic Quantum Computing to Form a Greenberger–Horne–Zeilinger (GHZ) State by Jansen, Nathan D., Hunt, Katharine L. C.

    ISSN: 1099-4300, 1099-4300
    Published: Switzerland MDPI AG 23.08.2025
    Published in Entropy (Basel, Switzerland) (23.08.2025)
    “…) state on two IBM quantum computers and four quantum simulators by comparison with direct calculations using a Python code (version 3.12…”
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    Journal Article
  9. 9

    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 by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882
    Published: United States 17.11.2020
    Published in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  10. 10

    Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer by Park, Jihwan, Rho, Mi Jung, Moon, Mi Hyoung

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 12.07.2024
    Published in PloS one (12.07.2024)
    “…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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    Journal Article
  11. 11

    Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets by Chen, Liang, Wang, Xiaohui, Peng, Tai-Quan

    ISSN: 1438-8871, 1439-4456, 1438-8871
    Published: Canada Journal of Medical Internet Research 01.10.2018
    Published in Journal of medical Internet research (01.10.2018)
    “…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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    Journal Article
  12. 12

    GSEApy: a comprehensive package for performing gene set enrichment analysis in Python by Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes…”
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    Journal Article
  13. 13

    PyLAT: Python LAMMPS Analysis Tools by Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X
    Published: United States 22.04.2019
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT…”
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  14. 14

    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics by Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Published: New York Springer-Verlag 01.02.2013
    “…Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics…”
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    Journal Article
  15. 15

    VULCAN: An Open-source, Validated Chemical Kinetics Python Code for Exoplanetary Atmospheres by Tsai, Shang-Min, Lyons, James R., Grosheintz, Luc, Rimmer, Paul B., Kitzmann, Daniel, Heng, Kevin

    ISSN: 0067-0049, 1538-4365
    Published: United States The American Astronomical Society 01.02.2017
    “…We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN…”
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  16. 16

    Quantitative analysis of mitochondrial ATP synthesis by Randall, E. Benjamin, Hock, Marcus, Lopez, Rachel, Marzban, Bahador, Marshall, Collin, Beard, Daniel A.

    ISSN: 0025-5564, 1879-3134, 1879-3134
    Published: United States Elsevier Inc 01.10.2021
    Published in Mathematical biosciences (01.10.2021)
    “… Computer codes for these analyses are embedded as Python scripts in a Jupyter Book to facilitate…”
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  17. 17

    stk: A python toolkit for supramolecular assembly by Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Published: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Published in Journal of computational chemistry (05.09.2018)
    “… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes…”
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  18. 18

    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials by Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Published: United States Elsevier B.V 01.10.2021
    Published in Computer physics communications (01.10.2021)
    “…The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij…”
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  19. 19

    scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data by Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a…”
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  20. 20

    The fast azimuthal integration Python library: pyFAI by Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme

    ISSN: 1600-5767, 0021-8898, 1600-5767
    Published: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.04.2015
    Published in Journal of applied crystallography (01.04.2015)
    “… It is written in Python (with binary submodules for improved performance), a language widely accepted and used by the scientific community today, which enables users to easily incorporate the pyFAI library into their processing pipeline…”
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    Journal Article