17 citations · 29 across the 6 of their papers we have counts for
6 papers
Cryo-RALib -- a modular library for accelerating alignment in cryo-EM
Szu-Chi Chung, Cheng-Yu Hung, Huei-Lun Siao +3
Thanks to automated cryo-EM and GPU-accelerated processing, single-particle cryo-EM has become a rapid structure determination method that permits capture of dynamical structures o…
Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy
Szu-Chi Chung, Shao-Hsuan Wang, Po-Yao Niu +3
Principal component analysis (PCA) is arguably the most widely used dimension-reduction method for vector-type data. When applied to a sample of images, PCA requires vectorization…
Functional Inverse Regression in an Enlarged Dimension Reduction Space
Ting-Li Chen, Su-Yun Huang, Yanyuan Ma +1
We consider an enlarged dimension reduction space in functional inverse regression. Our operator and functional analysis based approach facilitates a compact and rigorous formulati…
-SUP: A clustering algorithm for cryo-electron microscopy images of asymmetric particles
Ting-Li Chen, Dai-Ni Hsieh, Hung Hung +5
Cryo-electron microscopy (cryo-EM) has recently emerged as a powerful tool for obtaining three-dimensional (3D) structures of biological macromolecules in native states. A minimum…
On Multilinear Principal Component Analysis of Order-Two Tensors
Hung Hung, Pei-Shien Wu, I-Ping Tu +1
Principal Component Analysis (PCA) is a commonly used tool for dimension reduction in analyzing high dimensional data; Multilinear Principal Component Analysis (MPCA) has the poten…
Estimate the Occurrence Rate of the DNA Palindromes
I-Ping Tu, Yuan-Fu Huang, Shao-Hsuan Wang
A DNA palindrome is a segment of double-stranded DNA sequence with inver- sion symmetry which may form secondary structures conferring significant biolog- ical functions ranging fr…