DifFUZZY: a novel clustering algorithm for systems biology
<p>Current studies of the highly complex pathobiology and molecular signatures of human disease require the analysis of large sets of high-throughput data, from clinical to genetic expression experiments, containing a wide range of information types. A number of computational techniques are us...
Main Authors: | Cominetti Allende, O, Ornella Cominetti |
---|---|
Other Authors: | Maini, P |
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: |
Similar Items
-
The evolutionary dynamics of neutral networks: lessons from RNA
by: Rendel, M
Published: (2008) -
Computerised analysis of fetal heart rate
by: Xu, L
Published: (2014) -
DifFUZZY: A fuzzy clustering algorithm for complex data sets
by: Cominetti, O, et al.
Published: (2010) -
Modelling and comparing protein interaction networks using subgraph counts
by: Chegancas Rito, TM
Published: (2012) -
Gene x gene interactions in genome wide association studies
by: Bhattacharya, K
Published: (2014)