TY  - CONF
AU  - Nandini, Durgesh
AU  - Capecci, Elisa
AU  - Koefoed, Lucien
AU  - Laña, Ibai
AU  - Shahi, Gautam Kishore
AU  - Kasabov, Nikola
A4  - Cheng, Long
A4  - Leung, Andrew Chi Sing
A4  - Ozawa, Seiichi
PY  - 2018
DO  - 10.1007/978-3-030-04167-0_52
SN  - 9783030041663
SN  - 0302-9743
UR  - https://hdl.handle.net/11556/2213
AB  - Analysis of temporal gene expression data poses a significant challenge due to the combination of high dimensionality and low sample size. The purpose of this paper is to present a methodology for classification, modelling, and analysis of short...
LA  - eng
PB  - Springer Verlag
TI  - Modelling and analysis of temporal gene expression data using spiking neural networks
TY  - conference output
ER  -