07/21/2017 @ 10:30-11:15 Research Talk by Francesca Chiaromonte Statistics for large, complex data and its role in “Omics” research 1. Liu, Y., Chiaromonte, F. and Li, B., 2016. Structured Ordinary Least Squares: A Sufficient Dimension Reduction approach for regressions with partitioned predictors and heterogeneous units. Biometrics. 2. Guo, Z., Li, L., Lu, W. and Li,…
07/20/2017 @ 13:30-14:15 Research Talk by David Koslicki Using the Earth-mover’s Distance to compare microbial communities 1. McClelland, J. and Koslicki, D., 2016. EMDUnifrac: Exact linear time computation of the Unifrac metric and identification of differentially abundant organisms. arXiv preprint arXiv:1611.04634. 2. Mangul, S. and Koslicki, D., 2016. Reference-free comparison of microbial communities via de…
07/20/2017 @ 09:15-10:00 Research Talk by Jae-Hoon Sul Large-scale genetic studies of human complex traits 1. Sul, J.H., Cade, B.E., Cho, M.H., Qiao, D., Silverman, E.K., Redline, S. and Sunyaev, S., 2016. Increasing Generality and Power of Rare-Variant Tests by Utilizing Extended Pedigrees. The American Journal of Human Genetics, 99(4), pp.846-859. 2. Zhu, Y. and…
07/19/2017 @ 13:30-14:15 Research Talk by Or Zuk Estimating gene-specific selection parameters from human variation data: New methods and applications 1. Zuk, O., Schaffner, S.F., Samocha, K., Do, R., Hechter, E., Kathiresan, S., Daly, M.J., Neale, B.M., Sunyaev, S.R. and Lander, E.S., 2014. Searching for missing heritability: designing rare variant association studies. Proceedings of the…
07/18/2017 @ 10:30-11:30 Research Talk by Ilan Gronau Inferring a complex network of interbreeding between modern and archaic humans 1. Green, R.E., Krause, J., Briggs, A.W., Maricic, T., Stenzel, U., Kircher, M., Patterson, N., Li, H., Zhai, W., Fritz, M.H.Y. and Hansen, N.F., 2010. A draft sequence of the Neandertal genome. science, 328(5979), pp.710-722. 2….
07/18/2017 @ 09:15-10:00 Research Talk by Jo Hardin Prediction intervals for random forests with applications to high throughput data 1. Chen, X. and Ishwaran, H., 2012. Random forests for genomic data analysis. Genomics, 99(6), pp.323-329. 2. Pang, H., Lin, A., Holford, M., Enerson, B.E., Lu, B., Lawton, M.P., Floyd, E. and Zhao, H., 2006. Pathway…
07/17/2017 @ 14:30-15:15 Research Talk by Kin Fai Au Transcriptome analysis at the gene isoform level using hybrid sequencing 1. Au, K.F., Sebastiano, V., Afshar, P.T., Durruthy, J.D., Lee, L., Williams, B.A., van Bakel, H., Schadt, E.E., Reijo-Pera, R.A., Underwood, J.G. and Wong, W.H., 2013. Characterization of the human ESC transcriptome by hybrid sequencing. Proceedings…
07/17/2017 @ 10:30-11:15 Research Talk by Saharon Rosset Quality preserving databases for statistically sound “big data” analysis on public databases 1. Rosset, S., Aharoni, E. and Neuvirth, H., 2014. Novel Statistical Tools for Management of Public Databases Facilitate Community‐Wide Replicability and Control of False Discovery. Genetic epidemiology, 38(5), pp.477-481. 2. Aharoni, E. and Rosset, S.,…
07/17/2017 @ 09:15-10:00 Research Talk by David Tse Maximally correlation and principal component analysis 1. Rényi, A., 1959. On measures of dependence. Acta mathematica hungarica, 10(3-4), pp.441-451. 2. Feizi, S. and Tse, D., 2017. Maximally Correlated Principle Component Analysis. arXiv preprint arXiv:1702.05471.
07/14/2017 @ 16:00-16:45 Research Talk by Sagi Snir A universal PaceMaker as a better explanation of evolution and aging 1. Snir, S., Wolf, Y.I. and Koonin, E.V., 2012. Universal pacemaker of genome evolution. PLoS Comput Biol, 8(11), p.e1002785. 2. Snir, S. and Pellegrini, M., 2016. A Statistical Framework to Identify Deviation from Time Linearity in…