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Clustering methods can be viewed as unsupervised learning from a given dataset. Even without domain knowledge or labels such as the names of diseases given by medical experts, these methods generate partition of datasets. In some cases, these new generated classes lead to discovery of a new disease or new concept. This paper discusses how clustering methods work on a practical medical data set. For...
This paper reports the findings obtained through the statistical analysis of the thermodynamic measurements collected on the partially mutated anti-lysozyme antibody HyHEL-10. The data contained amino-acid sequences of 35 types of mutants of HyHEL-10 and corresponding thermodynamic measurements such as entropy and enthalpy. We examined the contribution of each of the mutated sites on VH and VL chains...
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