Maria Chikina, Ph.D.
Affiliations: | 2011 | Princeton University, Princeton, NJ |
Area:
Bioinformatics Biology, Computer Science, Molecular BiologyGoogle:
"Maria Chikina"Parents
Sign in to add mentorOlga G. Troyanskaya | grad student | 2011 | Princeton | |
(Devising effective similarity measures and learning algorithms for the study of metazoan gene expression.) |
Children
Sign in to add traineeAli Tugrul Balci | grad student | ||
Mengying Hu | grad student | ||
Tina Subic | post-doc | 2023- | University of Pittsburgh |
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Publications
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Hu M, Chikina M. (2024) InstaPrism: an R package for fast implementation of BayesPrism. Bioinformatics (Oxford, England) |
Hu M, Chikina M. (2024) Heterogeneous pseudobulk simulation enables realistic benchmarking of cell-type deconvolution methods. Genome Biology. 25: 169 |
Zhang S, Heil BJ, Mao W, et al. (2024) MousiPLIER: A Mouse Pathway-Level Information Extractor Model. Eneuro |
Crawford J, Chikina M, Greene CS. (2024) Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction. Bioinformatics Advances. 4: vbae004 |
Zhang S, Heil BJ, Mao W, et al. (2023) MousiPLIER: A Mouse Pathway-Level Information Extractor Model. Biorxiv : the Preprint Server For Biology |
Balcı AT, Ebeid MM, Benos PV, et al. (2023) An intrinsically interpretable neural network architecture for sequence-to-function learning. Bioinformatics (Oxford, England). 39: i413-i422 |
Sasse A, Ng B, Spiro A, et al. (2023) How far are we from personalized gene expression prediction using sequence-to-expression deep neural networks? Biorxiv : the Preprint Server For Biology |
Mao W, Miller CM, Nair VD, et al. (2023) A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation. Molecular Systems Biology. e11361 |
Balcı AT, Ebeid MM, Benos PV, et al. (2023) An intrinsically interpretable neural network architecture for sequence to function learning. Biorxiv : the Preprint Server For Biology |
Cappuccio A, Chawla DG, Chen X, et al. (2022) Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature. Cell Systems. 13: 989-1001.e8 |