Gene expression is the process by which information from a gene is used in the synthesis of a functional gene product, which may be proteins. A gene is declared differentially expressed if an observed difference or change in read counts or expression levels between two experimental conditions is statistically significant. To identify differentially expressed genes between two conditions, it is important to find statistical distributional property of the data to approximate the nature of differential genes. In the present study, the focus is mainly to investigate the differential gene expression analysis for sequence data based on compound distribution model. This approach was applied in RNA-seq count data of Arabidopsis thaliana and it has been found that compound Poisson distribution is more appropriate to capture the variability as compared with Poisson distribution. Thus, fitting of appropriate distribution to gene expression data provides statistically sound cutoff values for identifying differentially expressed genes.

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries.

Hybrid halide perovskites have made breakthroughs in a range of optoelectronic devices due to their favorable properties. Perovskites show mixed ionic electronic conductivity, which leads to current-voltage transients at timescales...

The basic aim of analyzing gene expression data is to identify genes whose expression patterns differ in the treatment samples, with respect to the control or healthy samples. Microarray technology is a tool for analyzing simultaneous relative expression of thousands of genes within a particular cell population or tissue in a single experiment through the hybridization of RNA. Present paper deals with mixture distribution approach to investigate differentially expressed genes for sequence data of Arabidopsis thaliana under two conditions, salt-stressed and control. Two-component mixture normal model was fitted to the normalized data and the parameters were estimated using EM algorithm. Likelihood Ratio Test (LRT) was performed for testing goodness-of-fit. Fitting of two-component mixture normal model was found to be capable of capturing more variability as compared to single component normal distribution and was able to identify the differentially expressed genes more accurately.