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NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources [chapter]

Kriti Puniyani, Eric P. Xing
2013 Lecture Notes in Computer Science  
Inference of gene interaction networks from expression data usually focuses on either supervised or unsupervised edge prediction from a single data source.  ...  We propose NP-MuScL (nonparanormal multi-source learning) to estimate a gene interaction network that is consistent with such multiple data sources, which are expected to reflect the same underlying relationships  ...  Conclusions We proposed NP-MuScL, an algorithm that predicts gene interaction networks in a global, unsupervised fashion by jointly analyzing multiple data sources to capture the conditional independencies  ... 
doi:10.1007/978-3-642-37195-0_15 fatcat:wr2powk3fnbqbm4p4y25n4ozp4

NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources

Kriti Puniyani, Eric P. Xing
2013 Journal of Computational Biology  
Inference of gene interaction networks from expression data usually focuses on either supervised or unsupervised edge prediction from a single data source.  ...  Results are reported on synthetic data, where NP-MuScL outperforms baseline algorithms significantly, even in the presence of noisy data sources.  ...  Conclusions We proposed NP-MuScL, an algorithm that predicts gene interaction networks in a global, unsupervised fashion by jointly analyzing multiple data sources to capture the conditional independencies  ... 
doi:10.1089/cmb.2013.0093 pmid:24134391 pmcid:PMC3822365 fatcat:sjttcmmz5jhxpdx34rdldjiuia

Spatiotemporal Gene Networks from ISH Images

Kriti Puniyani
2018
Finally, we propose NP-MuScL (nonparanormal multi source learning) to estimate a gene interaction network that is consistent with multiple sources of data, having the same underlying relationships between  ...  This thesis studies the question of predicting gene interaction networks from ISH data in three parts.  ...  Fan Guo and Lei Li were also involved in helpful discussions during the initial processing of the BDGP images.  ... 
doi:10.1184/r1/6723092 fatcat:cwgri2wchfgqvh625w6wnx4ebq