Deep Learning for System Biology
Published:
Deep Neural Networks in our cells
Posts by Collection
portfolio
ABC Methods
Published:
Approximate Bayesian Computation, a solution to interestingly hard problems
publications
Efficient Hybrid Algorithms for Computing Clusters Overlap
Published in Procedia Computer Science, 2016
we come up with a fast probabilistic algorithm,…, that can determine the similarity between large segments with a higher degree of accuracy than other known methods.
Recommended citation: Javangula, P., Modarre, K., Shenoy, P., Liu, Y., & Nayebi, A. (2017). " Efficient Hybrid Algorithms for Computing Clusters Overlap 1." Procedia Computer Science. 108: 1050-1059. https://www.sciencedirect.com/science/article/pii/S1877050917308050
Variable Selection with ABC Bayesian Forests
Published in Journal of Royal Statistical Society Series B (in Press), 2020
This paper develops the methodology for variable selection under non-parametric setting using ABC.
Recommended citation: Liu Y, Ročková V, Wang Y (2020). "Variable Selection with ABC Bayesian Forests." Journal of Royal Statistical Society Series B, In Press . https://arxiv.org/abs/1806.02304
Variable Selection via Thompson Sampling
Published in Jounal of America Statistical Association (In Press), Winner of SBSS 2020 Student Paper Competition awarded by ASA, 2020
TVS brings together Bayesian reinforcement and machine learning in order to extend the reach of Bayesian subset selection to non-parametric models and large datasets with very many predictors and/or very many observations.
Recommended citation: Liu Y., Rockova, V. . Variable Selection via Thompson Sampling[J]." arXiv preprint arXiv:2007.00187, 2020. . 1(3). https://yiliu9090.github.io/files/VS_TS.pdf
Fully Interpretable Deep Learning Model of Transcriptional Control
Published in ISMB 2020, 2020
This paper demonstrate that a case of fully interpretable Deep Learning Model
Recommended citation: Liu Y, Barr K, Reinitz J. (2019). " Fully Interpretable Deep Learning Model of Transcriptional Control[J]." Bioinformatics, Volume 36, Issue Supplement_1, July 2020, Pages i499–i507, Published . 1(3). https://academic.oup.com/bioinformatics/article/36/Supplement_1/i499/5870526
talks
Mini-Siminar
Published:
A departmental mini-siminar organized for year 2 students with a focus on past research and current research directions. The focus of the presentation lies in the current work in ABC Variable Selections Methods. Link to the Slides
Presentation on Deep Learning for Genomics
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This talk is class presentation for Computational Biology Class. However the content of the talk focuses on my recent work in Fully Interpretable Deep Learning Model of Transcriptional Control
Presentation at ISMB
Published:
This talk is for ISMB. However the content of the talk focuses on my work in Fully Interpretable Deep Learning Model of Transcriptional Control
teaching
Teaching Assistant
Teaching Assistant, University of Chicago, Department of Statistics, 2019
Teaching Assistant to STAT 24400: Link to Course Website cleared due to webpage upgrades