Accurate pathway activity inference from single-cell RNA sequencing (scRNA-seq) data is hindered by sparsity, technical noise, and the weak yet coordinated nature of transcriptional programs. Existing methods typically aggregate expression …
BackgroundOvarian cancer represents the primary cause of mortality from gynecological malignancies among women. Treatment strategies for benign versus malignant ovarian tumors differ significantly, making accurate preoperative diagnosis ess…
Sex differences appear in healthy and pathological conditions and may influence sex-specific therapeutic responses. Understanding such differences is a key activity for developing precision medicine strategies. This study investigates sex d…
Drug repositioning presents a compelling strategy to accelerate therapeutic development by uncovering new indications for existing compounds. However, current computational methods are often limited in their ability to integrate heterogeneo…
BackgroundThis study aims to explore the link between depression and dysmenorrhea by using an integrated and innovative approach that combines genomic, transcriptomic, and protein interaction data/information from various resources.MethodsA…
ObjectiveDevelopment of novel informatics methods focused on improving pregnancy outcomes remains an active area of research. The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learn…
MicroRNAs are short non-coding RNAs that regulate the stability and translation of mRNAs. Profiling experiments, using microarray or deep sequencing technology, have identified microRNAs that are preferentially expressed in certain tissues,…