921 citations · 9.3k across the 292 of their papers we have counts for
6 papers · 1 filter
Tradeoffs of Linear Mixed Models in Genome-wide Association Studies
Haohan Wang, Bryon Aragam, Eric Xing
Motivated by empirical arguments that are well-known from the genome-wide association studies (GWAS) literature, we study the statistical properties of linear mixed models (LMMs) a…
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
Xuefeng Du, Haohan Wang, Zhenxi Zhu +4
Motivation: Cryo-Electron Tomography (cryo-ET) is a 3D bioimaging tool that visualizes the structural and spatial organization of macromolecules at a near-native state in single ce…
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching
Kai Wen Wang, Xiangrui Zeng, Xiaodan Liang +3
Cellular Electron CryoTomography (CECT) is a 3D imaging technique that captures information about the structure and spatial organization of macromolecular complexes within single c…
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Chang Liu, Xiangrui Zeng, Ruogu Lin +4
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables anal…
Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms
Min Xu, Xiaoqi Chai, Hariank Muthakana +4
Motivation: Cellular Electron CryoTomography (CECT) enables 3D visualization of cellular organization at near-native state and in sub-molecular resolution, making it a powerful too…
Mixed membership analysis of genome-wide expression data
Edoardo M Airoldi, Stephen E Fienberg, Eric P Xing
Learning latent expression themes that best express complex patterns in a sample is a central problem in data mining and scientific research. For example, in computational biology…