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01/03/2023
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response
There are various sources of ionizing radiation exposure, where medical ...
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10/05/2021
Adaptive Group Testing with Mismatched Models
Accurate detection of infected individuals is one of the critical steps ...
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09/23/2021
Optimal Decision Making in High-Throughput Virtual Screening Pipelines
Effective selection of the potential candidates that meet certain condit...
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09/05/2021
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
Classification has been a major task for building intelligent systems as...
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10/07/2020
Quantifying the multi-objective cost of uncertainty
Various real-world applications involve modeling complex systems with im...
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02/26/2019
Optimal Clustering with Missing Values
Missing values frequently arise in modern biomedical studies due to vari...
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02/08/2019
Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertainty
Single-cell gene expression measurements offer opportunities in deriving...
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06/02/2018
Optimal Clustering under Uncertainty
Classical clustering algorithms typically either lack an underlying prob...
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05/30/2018
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty
Scientists are attempting to use models of ever increasing complexity, e...
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05/03/2018
Experimental Design via Generalized Mean Objective Cost of Uncertainty
The mean objective cost of uncertainty (MOCU) quantifies the performance...
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01/02/2018
Optimal Bayesian Transfer Learning
Transfer learning has recently attracted significant research attention,...
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10/05/2013