Publications by authors named "Luciana Carota"
Article Synopsis
- Onco-hematological studies use statistical mixture models, like Hierarchical Dirichlet Mixture Models (HDMM), to improve the classification of blood cancers through a focus on molecular biology and personalized medicine.
- The research proposes two methods to characterize HDMM components—computing multinomial parameters or using Multivariate Fisher's Non-Central Hypergeometric (MFNCH) distributions—and demonstrates the effectiveness of the MFNCH approach in patient assignment to these components.
- Results from both simulated and real Acute Myeloid Leukemia data show that the MFNCH-based method can outperform or match the traditional multinomial-based method while maintaining a balance between complexity and clinical relevance.
Protein sequence annotation is a major challenge in the postgenomic era. Thanks to the availability of complete genomes and proteomes, protein annotation has recently taken invaluable advantage from cross-genome comparisons. In this work, we describe a new non hierarchical clustering procedure characterized by a stringent metric which ensures a reliable transfer of function between related proteins even in the case of multidomain and distantly related proteins.
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