SCHOLARS@TAMU

Kim, E., Ivanov, I., & Dougherty, E. R. (2022). Network Classification Based on Reducibility With Respect to the Stability of Canalizing Power of Genes in a Gene Regulatory Network - A Boolean Network Modeling Perspective.. IEEE/ACM Trans Comput Biol Bioinform. 19(1), 558-568.

Yoon, G., Davidson, L. A., Goldsby, J. S., Mullens, D. A., Ivanov, I., Donovan, S. M., & Chapkin, R. S. (2021). Exfoliated epithelial cell transcriptome reflects both small and large intestinal cell signatures in piglets.. Am J Physiol Gastrointest Liver Physiol. 321(1), G41-G51.

Morris, E., Boyle, A. G., Riihimäki, M., Aspán, A., Anis, E., Hillhouse, A. E., ... Cohen, N. D. (2021). Differences in the genome, methylome, and transcriptome do not differentiate isolates of Streptococcus equi subsp. equi from horses with acute clinical signs from isolates of inapparent carriers.. PLoS One. 16(6), e0252804-e0252804.

Hala, D., Faulkner, P., He, K., Kamalanathan, M., Brink, M., Simons, K., ... Qian, X. (2021). An integrated in vivo and in silico analysis of the metabolism disrupting effects of CPI-613 on embryo-larval zebrafish (Danio rerio).. Comp Biochem Physiol C Toxicol Pharmacol. 248, 109084-109084.

Han, H., Davidson, L. A., Hensel, M., Yoon, G., Landrock, K., Allred, C., ... Chapkin, R. S. (2021). Loss of Aryl Hydrocarbon Receptor Promotes Colon Tumorigenesis in ApcS580/+; KrasG12D/+ Mice.. Mol Cancer Res. 19(5), 771-783.

Wang, M., Ivanov, I., Davidson, L. A., Chapkin, R. S., & Donovan, S. M. (2017). Infant nutrition and the microbiome. Nutrigenomics and Proteomics in Health and Disease. 220-257. John Wiley & Sons, Ltd.

Ivanov, I. V. (2010). Complexity of the BN and the PBN Models of GRNs and Mappings for Complexity Reduction. Handbook of Research on Computational Methodologies in Gene Regulatory Networks. 334-351. IGI Global.

Brun, M., Simeonov, P., Ivanov, I., & Ballarin, V. (2017). On the distribution of randomly generated boolean networks as models for genetic regulation. 2017 XVII Workshop on Information Processing and Control (RPIC), 2017 XVII Workshop on Information Processing and Control (RPIC). 2017-January, 1-6.

Kim, E., Ivanov, I., Hua, J., Chapkin, R. S., & Dougherty, E. R. (2016). Model-based study of the Effectiveness of Reporting Lists of Small Feature Sets using RNA-Seq Data. Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB '16: ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. 470-471.

Schoenen, D., Ivanov, I., & Corves, B. (2015). An Approach to the Characterization of Flexure Hinges for the Purpose of Optimizing the Design of a Micromanipulator. Mechanisms and Machine Science. 24, 869-877.

Yousefi, M. R., & Ivanov, I. (2013). Optimal control of gene regulatory networks with uncertain intervention effects. 2013 IEEE Global Conference on Signal and Information Processing, 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP). 105-108.

Knight, J., Ivanov, I., & Dougherty, E. (2013). Bayesian multivariate Poisson model for RNA-seq classification. 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS). 96-97.

Bahadorinejad, A., Ivanov, I., Lampe, J. W., Hullar, M., Chapkin, R. S., & Braga-Neto, U. M. (2018). Bayesian Classification of Microbial Communities Based on 16S rRNA Metagenomic Data.

Garcia-Mazcorro, J. F., Ivanov, I., Mills, D. A., & Noratto, G. (2015). Influence of whole-wheat consumption on fecal microbial ecology of obese diabetic mice.

Garcia-Mazcorro, J. F., Ivanov, I., Mills, D. A., & Noratto, G. (2015). Influence of whole-wheat consumption on fecal microbial ecology of obese diabetic mice.

(2016). Emerging Research in the Analysis and Modeling of Gene Regulatory Networks. IGI Global.