CBD excels again in accepted ISMB papers
We are very pleased that six papers by members of the Computational Biology Department (CBD) have been accepted for presentation at ISMB 2018, one of the most selective computational biology conferences. ISMB 2018 accepted 65 papers out of a total of 331 submissions. This year’s results continue Carnegie Mellon’s leadership in accepted papers at ISMB that has been ongoing for many years.
The first authors of two of the papers are first-year students in our Computational Biology Ph.D. program and the first author of a third is a recent graduate of our M.S. in Computational Biology program.
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Yixiu Zhao, Carnegie Mellon University, United States
Xiangrui Zeng, Carnegie Mellon University, United States
Qiang Guo, Max Planck Institute for Biochemistry, Germany
Min Xu, Carnegie Mellon University, United States
Asymptotically optimal minimizers schemes
Guillaume Marcais, Carnegie Mellon University, United States
Dan DeBlasio, Carnegie Mellon University, United States
Carl Kingsford, Carnegie Mellon University, United States
Deconvolution and phylogeny inference of structural variations in tumor genomic samples
Jesse Eaton, Carnegie Mellon University, United States
Jingyi Wang, Carnegie Mellon University, United States
Russell Schwartz, Carnegie Mellon University, United States
Personalized Regression Enables Sample-Specific Pan-Cancer Analysis
Ben Lengerich, Carnegie Mellon University, United States
Bryon Aragam, Carnegie Mellon University, United States
Eric Xing, Carnegie Mellon University, United States
Predicting CTCF-mediated chromatin loops using CTCF-MP
Ruochi Zhang, Carnegie Mellon University, United States
Yuchuan Wang, Carnegie Mellon University, United States
Yang Yang, Carnegie Mellon University, United States
Yang Zhang, Carnegie Mellon University, United States
Jian Ma, Carnegie Mellon University, United States
Quantifying the similarity of topological domains across normal and cancer human cell types
Natalie Sauerwald, Carnegie Mellon University, United States
Carl Kingsford, Carnegie Mellon University, United States