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

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

“… VeVaPy includes four functional modules coded in Python, and the source code is publicly available …”
Volltext

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

“… 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 …”
Volltext

Percolation theory using Python von Malthe-Sørenssen, Anders

“… Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes …”
Volltext

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

“… Summary LEfSe is a widely used Python package and Galaxy module for metagenomic biomarker discovery and visualization, utilizing the Kruskal …”
Volltext

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

“… : AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal …”
Volltext

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.

“… 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

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

“… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification …”
Weitere Angaben

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

“… Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes …”
Volltext

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

“… asynchronous ECG leads.•We provided open-source Python code that will facilitate further development of the tool …”
Volltext

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

“… We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN …”
Volltext

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

“… Results We describe a new iteration of ICGS that outperforms state-of-the-art scRNA-Seq detection workflows when applied …”
Volltext

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

“… This empirical investigation revealed four key static-analysis features that are crucial for the effective detection of Python type errors in practice …”
Volltext

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

“… This application enables the comparison of triggered alarms with the resultant logical states obtained during the analysis …”
Volltext

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.

“… The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij …”
Volltext

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

“… 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 …”
Volltext

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

“… We present an open-source, user-friendly Python package, pyIAST, to perform IAST calculations for an arbitrary number of components …”
Volltext

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

“… 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 …”
Volltext

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

“… PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development …”
Volltext

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

“… Results In this technical note, we present a new Python implementation of ComBat and ComBat-Seq …”
Volltext

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

“… stk is a modular, extensible and open‐source Python library that provides a simple Python API and integration with third party computational codes …”
Volltext