"Machine learning techniques on homological persistence features for ..."

Abbas Rammal et al. (2022)

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DOI: 10.1186/S12859-022-04992-5

access: open

type: Journal Article

metadata version: 2023-05-11

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  dblp key:
  - journals/bmcbi/RammalAGKV22
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  persistent URL:
  - https://dblp.org/rec/journals/bmcbi/RammalAGKV22
Abbas Rammal, Rabih Assaf, Alban Goupil, Mohammad Kacim, Valeriu Vrabie:
Machine learning techniques on homological persistence features for prostate cancer diagnosis. BMC Bioinform. 23(1): 476 (2022)

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