Potential association between allergenic food exposure and skin disease in Bangladesh: An application of principal component logistic regression (PCLR).

Background And Aim: Allergenic foods can trigger skin conditions, yet their impact in Bangladesh remains underexplored. This study aims to investigate the potential association between exposure to allergenic foods and the development of skin disease across Bangladesh.

Methods: We conducted a cross-sectional survey with 970 respondents from the divisions of Dhaka, Sylhet, Rangpur, and Chattogram who self-reported skin disease triggered by food allergens.

Awareness levels of breast cancer among female university and medical college students in Sylhet city of Bangladesh.

Background: Breast cancer has become a concerning health problem worldwide due to its increasing incidence rate. Women from developing countries are dying off due to the lack of knowledge on breast cancer and its different early detection programs.

Aims: This study explores the level of knowledge about breast cancer risk factors, early warning signs, screening, and therapeutic approaches and their influential determinants among university and medical college students.

Chikungunya outbreak in Bangladesh (2017): Clinical and hematological findings.

Introduction: A massive outbreak of chikungunya virus (CHIKV) occurred in Bangladesh during the period of April-September 2017, and over two million people were at risk of getting infected by the virus. A prospective cohort of viremic patients was constituted and analyzed to define the clinical, hematological, and long-term aspects of this outbreak.

Methods: A 35-day long comprehensive survey was conducted in two major, neighboring cities, Dhaka and Mymensingh.

An Integrated Statistical Approach to Compare Transcriptomics Data Across Experiments: A Case Study on the Identification of Candidate Target Genes of the Transcription Factor PPARα.

An effective strategy to elucidate the signal transduction cascades activated by a transcription factor is to compare the transcriptional profiles of wild type and transcription factor knockout models. Many statistical tests have been proposed for analyzing gene expression data, but most tests are based on pair-wise comparisons. Since the analysis of microarrays involves the testing of multiple hypotheses within one study, it is generally accepted that one should control for false positives by the false discovery rate (FDR).