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Figure 1 | EURASIP Journal on Bioinformatics and Systems Biology

Figure 1

From: Tracking of time-varying genomic regulatory networks with a LASSO-Kalman smoother

Figure 1

The LASSO-Kalman smoother tracker. Top row: parallel architecture of the tracker. The tracking is performed for each gene separately to find its incoming edges. The connectivity matrix A(k)=[ a 1 t ;; a p t ]. Bottom row: the LASSO-Kalman smoother: the prior estimate is predicted to give ak|k-1. The filter is updated with the observations to give the unconstrained estimate ak|k. The projection operator projects this estimate to enforce the constraint. This procedure is repeated for all time steps k=1,,n. Then, a forward-backward smoother is applied to reduce the covariance of the estimate and lead to the final constrained and smoothed estimate.

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