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papers

Publications (12)

Estimating the class prior and posterior from noisy positives and unlabeled data

Shantanu Jain, Martha White, Predrag Radivojac

Nonparametric semi-supervised learning of class proportions

Shantanu Jain, Martha White, Michael W. Trosset +1

Classification in biological networks with hypergraphlet kernels

Jose Lugo-Martinez, Predrag Radivojac

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez +10

Identifiability of two-component skew normal mixtures with one known component

Shantanu Jain, Michael Levine, Predrag Radivojac +1

Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks

Alaa Abi-Haidar, Jasleen Kaur, Ana G. Maguitman +5

The sequencing and interpretation of the genome obtained from a Serbian individual

Wazim Mohammed Ismail, Kymberleigh A. Pagel, Vikas Pejaver +6

A new class of metrics for learning on real-valued and structured data

Ruiyu Yang, Yuxiang Jiang, Scott Mathews +3

Community-Wide Evaluation of Computational Function Prediction

Iddo Friedberg, Predrag Radivojac

Enumerating consistent subgraphs of directed acyclic graphs: an insight into biomedical ontologies

Yisu Peng, Yuxiang Jiang, Predrag Radivojac

Recovering True Classifier Performance in Positive-Unlabeled Learning

Shantanu Jain, Martha White, Predrag Radivojac