- Alignment of sequences to reference genomes: assess the quality of reference genomes and the performance of sequence aligners - R and Shell.
- Canine Lymphoma Research: train and test machine learning models (K Nearest Neighbor and Linear Support Vector Machine) to predict B and T cell immunophenotypes. Hypothesis testing and survival analysis - R.
- Master's Capstone Project: develop a GUI app to visualize proteomics data processed in Perseus software - R and RShiny.
- Supervised Learning for Cardiovascular Disease (CVD): train and test machine learning models in (Gradient Boosting, K Nearest Neighbor, Random Forest, Ridge, and Decision Tree Classifiers) to predict CVD based on several risk factors - Python.
- Variant Calling (Identifying SNPs): utilize Freebayes and Bcftools variant callers to identify single nucleotide polymorphisms (SNPs) within genomic sequences of burbot fish - R and Shell.
estherolabisi / bioinformatics-work Goto Github PK
View Code? Open in Web Editor NEWSeveral bioinformatics projects: sequence alignment, machine learning, GUI development, etc.