Suchergebnisse - (( (state:ny OR state:new) python code analysis ) OR ( stat python code analysis ))*

  1. 1

    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
  2. 2

    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
  3. 3

    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
  4. 4

    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
  5. 5

    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
  6. 6

    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)
    “… ) coupled with high-resolution (HR) Orbitrap mass spectrometry (MS) and a new bottom-up sequencing strategy …”
    Weitere Angaben
    Journal Article
  7. 7

    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
  8. 8

    MEG and EEG data analysis with MNE-Python von Gramfort, Alexandre

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Veröffentlicht: Switzerland Frontiers Research Foundation 26.12.2013
    Veröffentlicht in Frontiers in neuroscience (26.12.2013)
    “… As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple …”
    Volltext
    Journal Article
  9. 9

    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
  10. 10

    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
  11. 11

    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
  12. 12

    Evaluating Large Language Models in Class-Level Code Generation von Du, Xueying, Liu, Mingwei, Wang, Kaixin, Wang, Hanlin, Liu, Junwei, Chen, Yixuan, Feng, Jiayi, Sha, Chaofeng, Peng, Xin, Lou, Yiling

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… Recently, many large language models (LLMs) have been proposed, showing advanced proficiency in code generation …”
    Volltext
    Tagungsbericht
  13. 13

    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
  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

    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
  16. 16

    Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors von Peng, Yun, Gao, Shuzheng, Gao, Cuiyun, Huo, Yintong, Lyu, Michael R.

    ISSN: 1558-1225
    Veröffentlicht: ACM 14.04.2024
    “… As a dynamic programming language, Python has become increasingly popular in recent years …”
    Volltext
    Tagungsbericht
  17. 17

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

    ISSN: 0192-8651, 1096-987X, 1096-987X
    Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  18. 18
  19. 19

    Nmrglue: an open source Python package for the analysis of multidimensional NMR data von Helmus, Jonathan J., Jaroniec, Christopher P.

    ISSN: 0925-2738, 1573-5001, 1573-5001
    Veröffentlicht: Dordrecht Springer Netherlands 01.04.2013
    Veröffentlicht in Journal of biomolecular NMR (01.04.2013)
    “… When used in combination with other Python scientific libraries, nmrglue provides a highly flexible and robust environment for spectral processing, analysis and visualization and includes a number …”
    Volltext
    Journal Article
  20. 20

    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