From the laboratory bench to the Cloud
Introduction Breast cancer subtyping is crucial for personalizing treatment and improving patient outcomes. In this project, I applied machine learning techniques to RNA-seq gene expression data to classify breast cancer…
RNA-Seq and protein structure prediction are essential tools in modern biological research, facilitating insights into the molecular mechanisms of diseases and the development of potential therapies. RNA-Seq is a technique…
Over-Representation Analysis (ORA) vs. Gene Set Enrichment Analysis (GSEA) Over-Representation Analysis (ORA) ORA is a statistical method used to determine whether a predefined set of genes (e.g., genes associated with…
Introduction Breast cancer research is crucial for improving diagnosis and treatment outcomes, potentially saving millions of lives. Bioinformatics plays a vital role in this field by enabling the analysis of…
Introduction Breast cancer remains one of the most common cancers worldwide, affecting millions of individuals and posing significant challenges to health systems. According to the World Health Organization, it is…
Overview of Breast Cancer Breast cancer is not only one of the most common cancers globally, but it also represents a significant health challenge that affects millions of women and,…
RT-qPCR (Real-Time Quantitative Polymerase Chain Reaction) is a highly versatile and sensitive molecular technique used across various scientific fields. Below are some of the broad and specific applications of RT-qPCR,…
Introduction Overview of PCR and its Evolution into qPCR and RT-qPCR Polymerase Chain Reaction (PCR) has revolutionized molecular biology, providing the ability to amplify millions of copies of DNA from…
qPCR is a sophisticated tool that, when properly executed, provides valuable insights into genetic material quantification. Its applications span across clinical diagnostics, research, and environmental testing, highlighting its versatility and…