CSI: a nonparametric Bayesian approach to network inference from multiple perturbed time series gene expression data.

Here we introduce the causal structure identification (CSI) package, a Gaussian process based approach to inferring gene regulatory networks (GRNs) from multiple time series data. The standard CSI approach infers a single GRN via joint learning from multiple time series datasets; the hierarchical approach (HCSI) infers a separate GRN for each dataset, albeit with the networks constrained to favor similar structures, allowing for the identification of context specific networks. The software is implemented in MATLAB and includes a graphical user interface (GUI) for user friendly inference. Finally the GUI can be connected to high performance computer clusters to facilitate analysis of large genomic datasets.

Foreign Body Denture in the Esophagus for 2 months: A Case Report.

Foreign body (FB) denture with 3 teeth impacted in the esophagus for 2 months without any obvious symptoms and signs is being reported. The FB, 4*3 cm was removed 26 cm from the upper incisor with rigid esophagoscope. The post-operative period was uneventful, and follow up endoscopy demonstrated normal findings.