Data Mining Techniques for the Life Sciences

By J. Walker, Oliviero Carugo, Frank Eisenhaber. 2010

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Rodrigo Moraes
2. João Francisco Valiati
3. Wilson P. Gavião Neto
4. Fatemeh Hemmatian
5. Kumar Ravi
6. Malika Aubakirova
7. Walaa Medhat
8. Jesús Serrano-Guerrero

Citations in the corpus

• Simulation-assisted machine learning (2018, neutral): “Categorical features are dummy-coded for SVM and NN algorithms.”
• Document-level sentiment classification: An empirical comparison between SVM and ANN (2013, background): “A detailed discussion covering parameter values and their implications are beyond the scope of our work and can be found in Ben-Hur and Weston (2010), Burges (1998), Hastie et al. (2001), Haykin (1998).”
• Knowledge-based machine learning methods for macromolecular 3D structure prediction (2016, unknown): “A variety of machine learning methods have been proposed to predict protein SS (Pirovano and Heringa, 2010), especially for the 3-class (a, b or coil) SS prediction.”