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Welcome to
the homepage of the GenTχWarper mining tool!
GenTχWarper is an application tool for alignment, analysis and mining
of gene expression time series. The
core algorithm is based on dynamic time warping
techniques used in the speech recognition
field(1). These techniques allow for non-linear
(elastic) alignment of temporal sequences of feature
vectors and consequently enable detection of similar
shapes with different phases, as demonstrated on the
figure below.
To get started with some examples, please read the tutorial section.
(1)
Sakoe,H. and Chiba,S. Dynamic
programming algorithm optimization for spoken word
recognition. IEEE Trans. on Acoust., Speech,
and Signal Process., ASSP 26, 43-49
(1978).
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