Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction

José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman. Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. In Miguel P. Rocha, Juan M. Corchado Rodríguez, Florentino Fdez-Riverola, Alfonso Valencia, editors, 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2011, April 6-8, 2011, Salamanca, Spain. Volume 93 of Advances in Intelligent and Soft Computing, pages 373-380, Springer, 2011. [doi]

@inproceedings{UrquizaRPHFO11,
  title = {Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction},
  author = {José M. Urquiza and Ignacio Rojas and Héctor Pomares and Luis Javier Herrera and J. P. Florido and Francisco M. Ortuño Guzman},
  year = {2011},
  doi = {10.1007/978-3-642-19914-1_48},
  url = {http://dx.doi.org/10.1007/978-3-642-19914-1_48},
  researchr = {https://researchr.org/publication/UrquizaRPHFO11},
  cites = {0},
  citedby = {0},
  pages = {373-380},
  booktitle = {5th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2011, April 6-8, 2011, Salamanca, Spain},
  editor = {Miguel P. Rocha and Juan M. Corchado Rodríguez and Florentino Fdez-Riverola and Alfonso Valencia},
  volume = {93},
  series = {Advances in Intelligent and Soft Computing},
  publisher = {Springer},
  isbn = {978-3-642-19913-4},
}