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» Data mining in bioinformatics using Weka
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HPCC
2007
Springer
15 years 4 months ago
An Adaptive Parallel Hierarchical Clustering Algorithm
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Zhaopeng Li, Kenli Li, Degui Xiao, Lei Yang
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
CSB
2002
IEEE
103views Bioinformatics» more  CSB 2002»
15 years 2 months ago
Protein-Based Analysis of Alternative Splicing in the Human Genome
Understanding the functional significance of alternative splicing and other mechanisms that generate RNA transcript diversity is an important challenge facing modern-day molecular...
Ann E. Loraine, Gregg A. Helt, Melissa S. Cline, M...
PRIB
2009
Springer
187views Bioinformatics» more  PRIB 2009»
15 years 2 months ago
Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
Tamara Polajnar, Mark A. Girolami
BMCBI
2005
116views more  BMCBI 2005»
14 years 9 months ago
Which gene did you mean?
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Barend Mons