Výsledky vyhľadávania - (( (staten OR state) python code analysis ) OR ( state:mi python code analysis ))

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    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
    Vydavateľské údaje: Frontiers Media S.A 12.09.2022
    Vydané 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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    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
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    PyIOmica: longitudinal omics analysis and trend identification Autor Domanskyi, Sergii, Piermarocchi, Carlo, Mias, George I

    ISSN: 1367-4803, 1367-4811, 1460-2059, 1367-4811
    Vydavateľské údaje: England Oxford University Press 01.04.2020
    Vydané v 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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    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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    E-kniha
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    Identification of Novel Microcystins Using High-Resolution MS and MSn with Python Code Autor 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
    Vydavateľské údaje: 01.02.2022
    Vydané v 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…”
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    Using DeepLabCut for 3D markerless pose estimation across species and behaviors Autor Nath, Tanmay, Mathis, Alexander, Chen, An Chi, Patel, Amir, Bethge, Matthias, Mathis, Mackenzie Weygandt

    ISSN: 1754-2189, 1750-2799, 1750-2799
    Vydavateľské údaje: England Nature Publishing Group 01.07.2019
    Vydané v Nature protocols (01.07.2019)
    “… We recently introduced an open-source toolbox called DeepLabCut that builds on a state-of-the-art human pose-estimation algorithm to allow a user to train a deep neural network with limited training…”
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    Enhanced deep learning model for precise nodule localization and recurrence risk prediction following curative-intent surgery for lung cancer Autor Park, Jihwan, Rho, Mi Jung, Moon, Mi Hyoung

    ISSN: 1932-6203, 1932-6203
    Vydavateľské údaje: United States Public Library of Science 12.07.2024
    Vydané v 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
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    Is Multitask Deep Learning Practical for Pharma? Autor Ramsundar, Bharath, Liu, Bowen, Wu, Zhenqin, Verras, Andreas, Tudor, Matthew, Sheridan, Robert P, Pande, Vijay

    ISSN: 1549-960X, 1549-960X
    Vydavateľské údaje: United States 28.08.2017
    “… Our implementation enables simple python scripts to construct, fit, and evaluate sophisticated deep models…”
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    Nature and Diffusion of Gynecologic Cancer–Related Misinformation on Social Media: Analysis of Tweets Autor Chen, Liang, Wang, Xiaohui, Peng, Tai-Quan

    ISSN: 1438-8871, 1439-4456, 1438-8871
    Vydavateľské údaje: Canada Journal of Medical Internet Research 01.10.2018
    Vydané v 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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    PyLAT: Python LAMMPS Analysis Tools Autor Humbert, Michael T, Zhang, Yong, Maginn, Edward J

    ISSN: 1549-960X, 1549-960X
    Vydavateľské údaje: 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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    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
    Vydavateľské údaje: England Oxford University Press 01.01.2023
    Vydané 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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    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics Autor Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Vydavateľské údaje: 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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    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
    Vydavateľské údaje: 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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    PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations Autor Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

    ISSN: 1549-960X, 1549-960X
    Vydavateľské údaje: 26.10.2020
    “…The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME…”
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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
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 05.09.2018
    Vydané 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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    Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields Autor Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

    ISSN: 1463-9084, 1463-9084
    Vydavateľské údaje: 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…”
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    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
    Vydavateľské údaje: United States Elsevier B.V 01.10.2021
    Vydané 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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    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
    Vydavateľské údaje: England Oxford University Press 01.01.2023
    Vydané 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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