Gene regulatory network inference from sparsely sampled noisy data

The isolation [25] and culture [24] of mycoplasmas were performed as previously described. Both broth and agar cultures were sent to AFSSA for identification purposes. The isolates

Increased workload can affect short-term oxidative stress ( Leeuwenburgh and Heinecke 2001 ; Costantini, Dell’Ariccia, et  al. Individual response to increased workload may occur

For comparing peak calling algorithms against our predictions, we obtained DNase-seq experimental data for each gold standard cell line (one replicate for H1-hESCs and two

Section 5 presents an extensive Monte Carlo experiment, where the model of this paper and two competing models are estimated on sixty samples generated under six different

Czech mountain ski resorts – origin of visitors (authors, based on data from T-Mobile) The data from the mobile network was only one of the sources - it supplements the

At this point, we have methods (variable selection and network inference) that return intelligible outputs (cell signature and transcriptional regulatory network), able to deal