Suchergebnisse - (( (state OR state) python code analysis ) OR ( stat python code analysis ))*

  1. 1

    Percolation theory using Python von Malthe-Sørenssen, Anders

    ISBN: 3031598997, 9783031598999, 3031599004, 9783031599002
    Veröffentlicht: Cham Springer 2024
    “… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes …”
    Volltext
    E-Book Buch
  2. 2

    Statistics Using Python von Campesato, Oswald

    ISBN: 9781683928805, 1683928806
    Veröffentlicht: 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 …”
    Volltext
    E-Book
  3. 3

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

    ISSN: 1520-6882, 1520-6882
    Veröffentlicht: United States 17.11.2020
    Veröffentlicht in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification …”
    Weitere Angaben
    Journal Article
  4. 4

    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 von de Oliveira, Joseffe Barroso, Gino, Joao Vitor Santa Rosa, de Lima, Carlos Jose, Filho, Joao Inacio da Silva

    ISSN: 2178-9010, 2178-9010
    Veröffentlicht: Sindicato das Secretarias e Secretarios do Estado de Sao Paulo 01.10.2023
    Veröffentlicht in GeSec : Revista de Gestão e Secretariado (01.10.2023)
    “… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis …”
    Volltext
    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 von Yang, Ei-Wen, Waldrup, Brigette, Velazquez-Villarreal, Enrique

    ISSN: 2072-6694, 2072-6694
    Veröffentlicht: Switzerland MDPI AG 17.07.2025
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  6. 6

    Introduction to computational causal inference using reproducible Stata, R, and Python code: A tutorial von 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
    Veröffentlicht: England Wiley Subscription Services, Inc 30.01.2022
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  7. 7

    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code von Baliu-Rodriguez, David, Peraino, Nicholas J, Premathilaka, Sanduni H, Birbeck, Johnna A, Baliu-Rodriguez, Tomás, Westrick, Judy A, Isailovic, Dragan

    ISSN: 1520-5851, 1520-5851
    Veröffentlicht: 01.02.2022
    Veröffentlicht in Environmental science & technology (01.02.2022)
    “… Cyanotoxins called microcystins (MCs) are highly toxic and can be present in drinking water sources. Determining the structure of MCs is paramount because of …”
    Weitere Angaben
    Journal Article
  8. 8

    Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields von Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

    ISSN: 1463-9084, 1463-9084
    Veröffentlicht: 21.12.2020
    Veröffentlicht in Physical chemistry chemical physics : PCCP (21.12.2020)
    “… We explore coherent multi-photon processes in 87Rb133Cs molecules using 3-level lambda and ladder configurations of rotational and hyperfine states, and discuss their relevance to future applications …”
    Weitere Angaben
    Journal Article
  9. 9

    Short communication: age2exhume – a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya von van der Beek, Peter, Schildgen, Taylor F.

    ISSN: 2628-3719, 2628-3697, 2628-3719
    Veröffentlicht: Göttingen Copernicus GmbH 16.01.2023
    Veröffentlicht in Geochronology (Göttingen. Online) (16.01.2023)
    “… datasets in such models remains challenging. Here, we present age2exhume, a thermal model in the form of a MATLAB or Python script, which can be used to rapidly obtain …”
    Volltext
    Journal Article
  10. 10

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

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: United States 22.04.2019
    Veröffentlicht in Journal of chemical information and modeling (22.04.2019)
    “… Here we describe a suite of open-source Python-based postprocessing routines we have developed called PyLAT …”
    Weitere Angaben
    Journal Article
  11. 11

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

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Veröffentlicht: England Oxford University Press 01.01.2023
    Veröffentlicht in Bioinformatics (Oxford, England) (01.01.2023)
    “… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
    Volltext
    Journal Article
  12. 12

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

    ISSN: 0010-4655, 1879-2944
    Veröffentlicht: United States Elsevier B.V 01.10.2021
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  13. 13

    Spatial Analysis Using Big Data von Hajime Seya, Yoshiki Yamagata

    ISBN: 0128131322, 9780128131329
    Veröffentlicht: 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 …”
    Volltext
    E-Book
  14. 14

    AMADAR: a python-based package for large scale prediction of Diels–Alder transition state geometries and IRC path analysis von Isamura, Bienfait K., Lobb, Kevin A.

    ISSN: 1758-2946, 1758-2946
    Veröffentlicht: Cham Springer International Publishing 15.06.2022
    Veröffentlicht in Journal of cheminformatics (15.06.2022)
    “… Predicting transition state geometries is one of the most challenging tasks in computational chemistry, which often requires expert-based knowledge and permanent human intervention …”
    Volltext
    Journal Article
  15. 15

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

    ISSN: 0067-0049, 1538-4365
    Veröffentlicht: United States The American Astronomical Society 01.02.2017
    Veröffentlicht in The Astrophysical journal. Supplement series (01.02.2017)
    “… We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN …”
    Volltext
    Journal Article
  16. 16

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

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Veröffentlicht: 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 …”
    Volltext
    Journal Article
  17. 17

    PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations von Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

    ISSN: 1549-960X, 1549-960X
    Veröffentlicht: 26.10.2020
    Veröffentlicht in Journal of chemical information and modeling (26.10.2020)
    “… The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME …”
    Weitere Angaben
    Journal Article
  18. 18

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

    ISSN: 1471-2105, 1471-2105
    Veröffentlicht: London BioMed Central 07.12.2023
    Veröffentlicht in BMC bioinformatics (07.12.2023)
    “… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq …”
    Volltext
    Journal Article
  19. 19

    Detecting Memory Errors in Python Native Code by Tracking Object Lifecycle with Reference Count von Ma, Xutong, Yan, Jiwei, Zhang, Hao, Yan, Jun, Zhang, Jian

    ISSN: 2643-1572
    Veröffentlicht: IEEE 11.09.2023
    “… To detect such problems, state-of-the-art approaches have made groundbreaking contributions to identifying inappropriate final refcount values before returning from native code to Python …”
    Volltext
    Tagungsbericht
  20. 20

    PHOTONAI—A Python API for rapid machine learning model development von 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
    Veröffentlicht: San Francisco Public Library of Science 21.07.2021
    Veröffentlicht in PloS one (21.07.2021)
    “… PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development …”
    Volltext
    Journal Article