We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster formation and rearrangement around putative segment ...
We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster formation and re-arrangement around putative segment ...
Oct 2, 2007 · We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster rearrangement around putative segment ...
Abstract We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster rearrangement around putative segment boundaries.
Dec 16, 2008 · We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster formation and rearrangement around ...
We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster rearrangement around putative segment boundaries.
We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster formation and rearrangement around putative segment ...
Abstract We present a new approach to segmenting multiple time series by analyzing the dynamics of cluster formation and rearrangement around putative segment
Ramakrishnan, L.T. Watson, B. Mishra and R.F. Helm "Simultaneously Segmenting Multiple Gene Expression Time Courses by Analyzing Cluster Dynamics" Journal ...
Trendy: segmented regression analysis of expression dynamics in ...
www.ncbi.nlm.nih.gov › PMC6192113
Oct 16, 2018 · Here we propose an approach we call Trendy which employs the method of segmented regression models to simultaneously characterize each gene's ...