@inproceedings{9e1dbb8fd19c433eb5b86578d128e7a2,
title = "PathWeigh – Quantifying the Behavior of Biochemical Pathway Cascades",
abstract = "Biochemical pathways analysis is an effective tool for understanding changes in gene expression data and associating such changes with cellular phenotypes. Pathway research aims to identify associated proteins within a cell using pathways and at building new pathways from a group of molecules of interest. Using pathway-based methods we gain insight into different functions of relevant molecules and find direct and indirect relations between them. We present PathWeigh, a Python-based tool for pathway analysis and graph presentation. The tool is open-sourced, extendable and runtime efficient. PathWeigh is available at https://github.org/zurkin1/Pathweigh and is released under MIT license. A sample Python notebook is provided with examples of running the tool.",
keywords = "Machine learning, Pathway analysis, RNA sequencing",
author = "Dani Livne and Sol Efroni",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 9th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2022 ; Conference date: 27-06-2022 Through 30-06-2022",
year = "2022",
doi = "https://doi.org/10.1007/978-3-031-07802-6_29",
language = "الإنجليزيّة",
isbn = "9783031078019",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "346--352",
editor = "Ignacio Rojas and Olga Valenzuela and Fernando Rojas and Herrera, {Luis Javier} and Francisco Ortu{\~n}o",
booktitle = "Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Proceedings",
address = "ألمانيا",
}