Niapu: network-informed adaptive positive-unlabeled learning for disease gene identification

HIGHLIGHTS

• who: Bioinformatics and colleagues from the Institute for Applied Computing (IAC) u2018Mauro Picone`, National Research Council of Italy (CNR), Rome, Italy and Department of Computer, Control and Management Engineering (DIAG) u2018Antonio Ruberti`, Sapienza University of Rome, Rome, Italy have published the research: NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification, in the Journal: (JOURNAL)
• what: The authors propose a set of effective network-based features to be used in a novel Markov diffusion-based multi-class labeling strategy for putative disease gene discovery. Going beyond the approach from Yang et_al , the authors . . .
  

   

  

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