Pinned Repositories
Bioinformatics-in-Microbial-Science
Here are some of the analyses I did for the Suen Lab at the University of Wisconsin. This study intends to analyze correlation between cow genes and their milk production efficiency. With the R code above I separated cows in high, mid, and low effiency based on their RFI and the standard deviations they are from the line of regression. I also cleaned the data and plotted the diversity we had in our data.
RaphaelMantovani
Config files for my GitHub profile.
Respiration-Rate-Project
This project is using computer vision to calculate the respiration rate of lying dairy cows. By analyzing the difference in average pixel intensity in annotated bounding boxes and performing Fast Fourier Transform to select the most prevalent data, this model predicts the number of times a cow breathed in a 30-second interval.
soccer-statistics
Soccer API.py is a Python code to filter and analyze season stats based on user-inputted country, league, and season parameters provided by the soccer API available at https://elenasport.io. Standings_Request.py is written quite similarly to the former, but instead of performing a linear regression analysis, it gives the user standings for the chosen league and season.
RaphaelMantovani's Repositories
RaphaelMantovani/Respiration-Rate-Project
This project is using computer vision to calculate the respiration rate of lying dairy cows. By analyzing the difference in average pixel intensity in annotated bounding boxes and performing Fast Fourier Transform to select the most prevalent data, this model predicts the number of times a cow breathed in a 30-second interval.
RaphaelMantovani/Bioinformatics-in-Microbial-Science
Here are some of the analyses I did for the Suen Lab at the University of Wisconsin. This study intends to analyze correlation between cow genes and their milk production efficiency. With the R code above I separated cows in high, mid, and low effiency based on their RFI and the standard deviations they are from the line of regression. I also cleaned the data and plotted the diversity we had in our data.
RaphaelMantovani/RaphaelMantovani
Config files for my GitHub profile.
RaphaelMantovani/soccer-statistics
Soccer API.py is a Python code to filter and analyze season stats based on user-inputted country, league, and season parameters provided by the soccer API available at https://elenasport.io. Standings_Request.py is written quite similarly to the former, but instead of performing a linear regression analysis, it gives the user standings for the chosen league and season.