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LesNet (Lesion Net) is an open-source project for AI-based skin lesion detection. It aims to create a reliable tool and foster community involvement in critical AI problems. Contributions are welcome!
In this assignment, we will tackle a regression problem. We will be working on a dataset consolidated from census data in the USA. The goal is to accurately predict cancer mortality based on information related to US counties.The dataset contains 33 different features (demography, medical information).
SpecHLA reconstructs entire diploid sequences of HLA genes and infers LOH events. It supports HLA-A, -B, -C, -DPA1, -DPB1, -DQA1, -DQB1, and -DRB1 genes. Also, it supports both short- and long-read data.