Identifying highly expressed genes Using Pandas: Top 10 gene analysis

Prerequisites To run this project, you need to have the following libraries installed: - pandas - numpy - seaborn - matplotlib

Data Preparation

1	Loading the Data: Import the data into a pandas DataFrame.
2	Checking for Missing Values: Ensure there are no missing values in critical columns.
3	Data Cleaning: Convert data types and handle missing values.

Normalization

Analysis

This mini project provides a comprehensive guide to identifying highly expressed genes using pandas and related libraries