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BIOCOMP
2008
14 years 11 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
GRC
2010
IEEE
14 years 10 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
63
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FSKD
2009
Springer
138views Fuzzy Logic» more  FSKD 2009»
15 years 4 months ago
Censoring Biological Echoes in Weather Radar Images
Weather radar data is susceptible to several artifacts due to anamalous propagation, ground clutter, electronic interference, sun angle, second-trip echoes and biological contamin...
Valliappa Lakshmanan, Jian Zhang
BMCBI
2006
174views more  BMCBI 2006»
14 years 9 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
IJCNN
2008
IEEE
15 years 4 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini