Liver Cancer Project: Bioinformatics for Precision Oncology
Hepatocellular Carcinoma (HCC) is a leading cause of cancer related deaths worldwide. Hepatitis viral infection, alcohol/cirrhosis, genetic predisposition (inherited) are among the major risk factors for HCC development. It is considered that treatment options are available if cancer is diagnosed at an early stage and become limited if the tumor progresses to the late stage. In this project, we will try to understand which molecular mechanisms are associated with liver cancer stage classification (comparison of stage1, stage2, stage3, and stage4) and how can we differentiate various risk factors responsible for liver cancer development. How the multi-omics data integration help us to understand the association of clinical phenotypes of samples with the omics data.
- Lectures 16
- Quizzes 1
- Duration 50 hours
- Skill level All levels
- Language English
- Students 1121
- Certificate No
- Assessments Yes
Comparison of liver and breast cancer samples
Exploratory Analysis for Classification of Clinical Phenotypes
Exploratory association of tumor stage, and risk factors with molecular signatures of gene expression based on data from 50 patients
3. Multi-omics integration: complex expression and signaling pathways associated in clinical manifestations of liver cancer.
Sources and References
Liver Cancer Project
Very well designed project, all the key concepts and how do we analyze samples and interpret the biological significance has been put forward in a really easy manner. Anybody who wants to work on cancer samples can go through the project to understand how to analyze and interpret information gained through various datasets.