Matthew A. Kayala, Ph.D.

2012 Computer Science - Ph.D. University of California, Irvine, Irvine, CA 
"Matthew Kayala"


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Pierre Baldi grad student 2012 UC Irvine
 (Mechanistic chemical reaction prediction using machine learning.)
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Chen YH, Su CC, Deng W, et al. (2019) Mitochondrial Akt Signaling Modulated Reprogramming of Somatic Cells. Scientific Reports. 9: 9919
Kayala MA, Baldi P. (2012) ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learning. Journal of Chemical Information and Modeling. 52: 2526-40
Kayala MA, Baldi P. (2012) Cyber-T web server: differential analysis of high-throughput data. Nucleic Acids Research. 40: W553-9
Lee SJ, Liang L, Juarez S, et al. (2012) Identification of a common immune signature in murine and human systemic Salmonellosis. Proceedings of the National Academy of Sciences of the United States of America. 109: 4998-5003
Barry AE, Trieu A, Fowkes FJ, et al. (2011) The stability and complexity of antibody responses to the major surface antigen of Plasmodium falciparum are associated with age in a malaria endemic area. Molecular & Cellular Proteomics : McP. 10: M111.008326
Kayala MA, Azencott CA, Chen JH, et al. (2011) Learning to predict chemical reactions. Journal of Chemical Information and Modeling. 51: 2209-22
Trieu A, Kayala MA, Burk C, et al. (2011) Sterile protective immunity to malaria is associated with a panel of novel P. falciparum antigens. Molecular & Cellular Proteomics : McP. 10: M111.007948
Cruz-Fisher MI, Cheng C, Sun G, et al. (2011) Identification of immunodominant antigens by probing a whole Chlamydia trachomatis open reading frame proteome microarray using sera from immunized mice. Infection and Immunity. 79: 246-57
Kayala MA, Baldi P. (2011) A machine learning approach to predict chemical reactions Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011
Magnan CN, Zeller M, Kayala MA, et al. (2010) High-throughput prediction of protein antigenicity using protein microarray data. Bioinformatics (Oxford, England). 26: 2936-43
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