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Integrative Gene Network Construction to Analyze Cancer Recurrence Using Semi-Supervised Learning

BACKGROUND: The prognosis of cancer recurrence is an important research area in bioinformatics and is challenging due to the small sample sizes compared to the vast number of genes. There have been several attempts to predict cancer recurrence. Most studies employed a supervised approach, which uses...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Park, Chihyun, Ahn, Jaegyoon, Kim, Hyunjin, Park, Sanghyun
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: Public Library of Science 2014
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3908883/
https://ncbi.nlm.nih.gov/pubmed/24497942
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0086309
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