The data analysis process typically involves several key steps:
Data Collection: Gathering raw data from experiments or simulations. Data Preprocessing: Cleaning and formatting data to ensure it is suitable for analysis. Exploratory Data Analysis (EDA): Using statistical tools to summarize and visualize data. Modeling: Applying mathematical models to represent biological processes. Validation: Ensuring that models are accurate and reliable. Interpretation: Drawing meaningful conclusions from the analyzed data.
