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» Classification of microarray data using gene networks
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BMCBI
2004
133views more  BMCBI 2004»
15 years 3 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
ECOI
2010
117views more  ECOI 2010»
15 years 3 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
ASC
2008
15 years 3 months ago
Evolving a Bayesian classifier for ECG-based age classification in medical applications
Abstract. Objective: Age classification of patients based on information extracted from electrocardiograms (ECG's). The scope of this work is to develop and compare the perfor...
M. Wiggins, A. Saad, Brian Litt, George J. Vachtse...
ICANN
2007
Springer
15 years 7 months ago
Classifying EEG Data into Different Memory Loads Across Subjects
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
Liang Wu, Predrag Neskovic
BMCBI
2006
117views more  BMCBI 2006»
15 years 3 months ago
SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks
Background: Measuring each protein's importance in signaling networks helps to identify the crucial proteins in a cellular process, find the fragile portion of the biology sy...
Wei Liu, Dong Li, Jiyang Zhang, Yunping Zhu, Fuchu...