<b>Harnessing the Full Potential of Multi-omics: A Strategic Approach to Literature Retrieval in Next Generation Mammalian Cell Bioprocessing</b>

<p dir="ltr">This repository contains all code, data preprocessing steps, and visualisation workflows used to analyse scientific literature related to CHO and HEK293 cell lines, with a focus on comparing publications that mention bioprocessing terms versus those that do not.</p><h3><b>Contents:</b></h3><ul><li><b>Jupyter Notebook:</b></li><li><ul><li>The main analysis notebook includes:</li><li>Designed for reproducibility and exploratory insight.</li></ul></li><li><code><strong>requirements.txt</strong></code><b>:</b><br>A list of all Python packages and their versions required to run the notebook. This ensures the analysis is fully reproducible in any compatible environment.</li><li><code><strong>README.md</strong></code><b>:</b><br>Contains instructions for environment setup, data expectations, and a brief overview of each major section of the notebook.</li></ul><p></p>