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Found 4 papers, 0 papers with code
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
We consider the problem of Named Entity Recognition (NER) on biomedical scientific literature, and more specifically the genomic variants recognition in this work.
A Blended Deep Learning Approach for Predicting User Intended Actions
In this work, we focus on pre- dicting attrition, which is one of typical user intended actions.
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction
Accurately predicting drug responses to cancer is an important problem hindering oncologists' efforts to find the most effective drugs to treat cancer, which is a core goal in precision medicine.
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy.
