8 citations · 10 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2019
Protein folding analysis using features obtained by persistent homology
Takashi Ichinomiya, Ippei Obayashi, Yasuaki Hiraoka
Understanding the protein folding process is an outstanding issue in biophysics; recent developments in molecular dynamics simulation have provided insights into this phenomenon. H…
math.AT2017★ 2 cited
Volume Optimal Cycle: Tightest representative cycle of a generator on persistent homology
Ippei Obayashi
This paper shows a mathematical formalization, algorithms and computation software of volume optimal cycles, which are useful to understand geometric features shown in a persistenc…
math.AT2017★ 8 cited
Persistence Diagrams with Linear Machine Learning Models
Ippei Obayashi, Yasuaki Hiraoka
Persistence diagrams have been widely recognized as a compact descriptor for characterizing multiscale topological features in data. When many datasets are available, statistical f…