Papers: 10.1371/journal.pone.0178217
https://doi.org/10.1371/journal.pone.0178217
Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region
Cited by: 8
Author(s): Motohiro Nishio, Kazuaki Nakane, Takeshi Kubo, Masahiro Yakami, Yutaka Emoto, Masaki Nishio, Kaori Togashi
Published: over 9 years ago
Software Mentions 4
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pypi: repDNA
a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effectsPapers that mentioned: 19
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