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Calin Voichita, Ph.D.

Affiliations: 
2013 Computer Science Wayne State University, Detroit, MI, United States 
Area:
Bioinformatics Biology, Computer Science, Artificial Intelligence
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"Calin Voichita"
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Sorin Draghici grad student 2013 Wayne State
 (Towards personalized medicine using systems biology and machine learning.)

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Publications

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Mitrea C, Bollig-Fischer A, Voichiţa C, et al. (2020) Detecting qualitative changes in biological systems. Scientific Reports. 10: 8146
Ansari S, Voichita C, Donato M, et al. (2017) A novel pathway analysis approach based on the unexplained disregulation of genes. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 105: 482-495
Ansari S, Voichita C, Donato M, et al. (2016) A Novel Pathway Analysis Approach Based on the Unexplained Disregulation of Genes Proceedings of the Ieee
Lin HS, Siddiq F, Talwar HS, et al. (2014) Serum prognostic biomarkers in head and neck cancer patients. The Laryngoscope. 124: 1819-26
Mitrea C, Taghavi Z, Bokanizad B, et al. (2013) Methods and approaches in the topology-based analysis of biological pathways. Frontiers in Physiology. 4: 278
Voichita C, Donato M, Draghici S. (2013) A genetic algorithms framework for estimating individual gene contributions in signaling pathways 2013 Ieee Congress On Evolutionary Computation, Cec 2013. 650-657
Ansari NA, Bao R, Voichiţa C, et al. (2012) Detecting phenotype-specific interactions between biological processes from microarray data and annotations. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 9: 1399-409
Xu Z, Voichiţa C, Drăghici S, et al. (2012) Z-BAG: A CLASSIFICATION ENSEMBLE SYSTEM WITH POSTERIOR PROBABILISTIC OUTPUTS Computational Intelligence. 29: 310-330
Voichita C, Donato M, Draghici S. (2012) Incorporating gene significance in the impact analysis of signaling pathways Proceedings - 2012 11th International Conference On Machine Learning and Applications, Icmla 2012. 1: 126-131
Voichiţa C, Khatri P, Drǎghici S. (2008) Identifying uncertainty regions in support vector machines using geometric margin and convex hulls Proceedings of the International Joint Conference On Neural Networks. 3319-3324
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