33 citations · 39 across the 5 of their papers we have counts for
7 papers
Leveraging Structure for Improved Classification of Grouped Biased Data
Daniel Zeiberg, Shantanu Jain, Predrag Radivojac
We consider semi-supervised binary classification for applications in which data points are naturally grouped (e.g., survey responses grouped by state) and the labeled data is bias…
The sequencing and interpretation of the genome obtained from a Serbian individual
Wazim Mohammed Ismail, Kymberleigh A. Pagel, Vikas Pejaver +6
Recent genetic studies and whole-genome sequencing projects have greatly improved our understanding of human variation and clinically actionable genetic information. Smaller ethnic…
Identifiability of two-component skew normal mixtures with one known component
Shantanu Jain, Michael Levine, Predrag Radivojac +1
We give sufficient identifiability conditions for estimating mixing proportions in two-component mixtures of skew normal distributions with one known component. We consider the uni…
Enumerating consistent subgraphs of directed acyclic graphs: an insight into biomedical ontologies
Yisu Peng, Yuxiang Jiang, Predrag Radivojac
Modern problems of concept annotation associate an object of interest (gene, individual, text document) with a set of interrelated textual descriptors (functions, diseases, topics)…
Classification in biological networks with hypergraphlet kernels
Jose Lugo-Martinez, Predrag Radivojac
Biological and cellular systems are often modeled as graphs in which vertices represent objects of interest (genes, proteins, drugs) and edges represent relational ties among these…
Recovering True Classifier Performance in Positive-Unlabeled Learning
Shantanu Jain, Martha White, Predrag Radivojac
A common approach in positive-unlabeled learning is to train a classification model between labeled and unlabeled data. This strategy is in fact known to give an optimal classifier…