Výsledky vyhledávání - (( (state OR stat) python code analysis ) OR ( (statement OR state:oh) python code analysis ))*

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  1. 1

    VeVaPy, a Python Platform for Efficient Verification and Validation of Systems Biology Models with Demonstrations Using Hypothalamic-Pituitary-Adrenal Axis Models Autor Parker, Christopher, Nelson, Erik, Zhang, Tongli

    ISSN: 1099-4300, 1099-4300
    Vydáno: Switzerland MDPI AG 29.11.2022
    Vydáno v Entropy (Basel, Switzerland) (29.11.2022)
    “… VeVaPy includes four functional modules coded in Python, and the source code is publicly available…”
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    Journal Article
  2. 2

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

    ISSN: 2624-8212, 2624-8212
    Vydáno: Frontiers Media S.A 12.09.2022
    Vydáno v 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
  3. 3

    Percolation theory using Python Autor Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Vydáno: 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

    lefser: implementation of metagenomic biomarker discovery tool, LEfSe, in R Autor Khleborodova, Asya, Gamboa-Tuz, Samuel D, Ramos, Marcel, Segata, Nicola, Waldron, Levi, Oh, Sehyun

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydáno: England Oxford University Press 28.11.2024
    Vydáno v Bioinformatics (Oxford, England) (28.11.2024)
    “…Summary LEfSe is a widely used Python package and Galaxy module for metagenomic biomarker discovery and visualization, utilizing the Kruskal…”
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    Journal Article
  5. 5

    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
    Vydáno: Switzerland MDPI AG 17.07.2025
    Vydáno 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
  6. 6

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial Autor 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
    Vydáno: England Wiley Subscription Services, Inc 30.01.2022
    Vydáno v 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
  7. 7

    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
    Vydáno: United States 17.11.2020
    Vydáno 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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    Journal Article
  8. 8

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

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydáno: England Oxford University Press 01.01.2023
    Vydáno v 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
  9. 9

    Digitizing ECG image: A new method and open-source software code Autor Fortune, Julian D., Coppa, Natalie E., Haq, Kazi T., Patel, Hetal, Tereshchenko, Larisa G.

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Vydáno: Ireland Elsevier B.V 01.06.2022
    “… asynchronous ECG leads.•We provided open-source Python code that will facilitate further development of the tool…”
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    Journal Article
  10. 10

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

    ISSN: 0067-0049, 1538-4365
    Vydáno: 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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    Journal Article
  11. 11

    Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF Autor Venkatasubramanian, Meenakshi, Chetal, Kashish, Schnell, Daniel J, Atluri, Gowtham, Salomonis, Nathan

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydáno: England Oxford University Press 01.06.2020
    Vydáno v Bioinformatics (01.06.2020)
    “… Results We describe a new iteration of ICGS that outperforms state-of-the-art scRNA-Seq detection workflows when applied…”
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    Journal Article
  12. 12

    Towards Effective Static Type-Error Detection for Python Autor Oh, Wonseok, Oh, Hakjoo

    ISSN: 2643-1572
    Vydáno: ACM 27.10.2024
    “… This empirical investigation revealed four key static-analysis features that are crucial for the effective detection of Python type errors in practice…”
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    Konferenční příspěvek
  13. 13

    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
    Vydáno: 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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    Journal Article
  14. 14

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

    ISSN: 0010-4655, 1879-2944
    Vydáno: United States Elsevier B.V 01.10.2021
    Vydáno v 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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    Journal Article
  15. 15

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

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Vydáno: England Oxford University Press 01.01.2023
    Vydáno v 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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    Journal Article
  16. 16

    pyIAST: Ideal adsorbed solution theory (IAST) Python package Autor Simon, Cory M., Smit, Berend, Haranczyk, Maciej

    ISSN: 0010-4655, 1879-2944
    Vydáno: Netherlands Elsevier B.V 01.03.2016
    Vydáno v Computer physics communications (01.03.2016)
    “… We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components…”
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    Journal Article
  17. 17

    Graph embedding on biomedical networks: methods, applications and evaluations Autor Yue, Xiang, Wang, Zhen, Huang, Jingong, Parthasarathy, Srinivasan, Moosavinasab, Soheil, Huang, Yungui, Lin, Simon M, Zhang, Wen, Zhang, Ping, Sun, Huan

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydáno: England Oxford University Press 15.02.2020
    Vydáno v Bioinformatics (15.02.2020)
    “… To date, most recent graph embedding methods are evaluated on social and information networks and are not comprehensively studied on biomedical networks under systematic experiments and analyses…”
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    Journal Article
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    PHOTONAI—A Python API for rapid machine learning model development Autor Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim

    ISSN: 1932-6203, 1932-6203
    Vydáno: San Francisco Public Library of Science 21.07.2021
    Vydáno v PloS one (21.07.2021)
    “…PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development…”
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    Journal Article
  19. 19

    pyComBat, a Python tool for batch effects correction in high-throughput molecular data using empirical Bayes methods Autor Behdenna, Abdelkader, Colange, Maximilien, Haziza, Julien, Gema, Aryo, Appé, Guillaume, Azencott, Chloé-Agathe, Nordor, Akpéli

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 07.12.2023
    Vydáno v BMC bioinformatics (07.12.2023)
    “… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq…”
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    Journal Article
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    stk: A python toolkit for supramolecular assembly Autor Turcani, Lukas, Berardo, Enrico, Jelfs, Kim E.

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Vydáno: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Vydáno v 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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    Journal Article