A web platform that facilitates the identification of leading genes from sequencing data.
Single-cell RNA-sequencing (scRNA-seq) and RNA-sequencing (RNA-seq) have revolutionized the field of biomedical research, presenting both opportunities and computational analysis challenges. Dealing with the enormous complexity of data, especially in gene selection, remains a critical hurdle. Our platform, Bioinn, excels in identifying key genes within both scRNA-seq and RNA-seq datasets, leveraging more than 15 specialized feature extraction techniques. A unique aspect of Bioinn is its ensemble approach, allowing users to create their personalized method by selecting one technique from each category. This tool provides comprehensive analysis of prominent genes, evaluating their predictive accuracy and relevance to various biological processes and drug interactions. It also includes visual representations like KEGG pathways and PPI networks to give users a complete view of the gene functions. With its extensive features, Bioinn serves as an invaluable resource for discovering and deciphering transcriptional markers for complex diseases using scRNA-seq and RNA-seq research.
