Bioinformatics

DNA Sequence classifier

• data: human genome, chimpanzee genome, dog genome
• learned how to working with DNA Seqeunce, 3 way to encode genome sequence.
• train a machine learning model with human genome
• percision, recall, F1 socre were used as accuracy metric.

Genomic selection with ANN AND CNN

• data: wheat genotype, and wheat yield form different field
• calculating SNP signifincant
• lasso regression used as bench model
• 3 layers neural network and 4 layer CNN.
• pearson correlation was used as accuracy.
• inspired by the paper and reference
• "https://www.researchgate.net/publication/334609713_A_Guide_for_Using_Deep_Learning_for_Complex_Trait_Genomic_Prediction"