main webpage W Topic Bioinformatics Briefings in Bioinformatics • Vol 25 • No 4 Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge 2024 Abstract Recent advances in microfluidics and sequencing technologies allow researchers to explore cellular heterogeneity at single-cell resolution. In recent years, deep learning frameworks, such as generative models, have brought great changes to the analys… Article Open Bioinformatics Open Article Page

Bioinformatics

Computational analysis of large, complex sets of biological data Bioinformatics ( ) is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The subsequent process of analyzing and interpreting data is referred to as computational biology. Computational, statistical, and computer programming techniques have been used for computer simulation analyses of biological queries. Critical Symbolic Virtual Narrative Open Bioinformatics Open Article Page

Exploring foci of: Briefings in Bioinformatics • Vol 25 • No 4 Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge 2024 Abstract Recent advances in microfluidics and sequencing technologies allow researchers to explore cellular heterogeneity at single-cell resolution. In recent years, deep learning frameworks, such as generative models, have brought great changes to the analysis of transcriptomic data. Nevertheless, relying on the potential space of these generative models alone is insufficient to generate biological explanations. In addition, most of the previous work based on generative models is limited to shallow neural network… Open Article Page

Click Bioinformatics Vs: Computer Science Artificial Intelligence Generative Grammar Machine Learning Hierarchy Deep Learning Biology Market Economy Economics Open Article Page

Explore Bioinformatics W Topic Bioinformatics Briefings in Bioinformatics • Vol 25 • No 4 Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge 2024 Abstract Recent advances in microfluidics and sequencing technologies allow researchers to explore cellular heterogeneity at single-cell resolution. In recent years, deep learning frameworks, such as generative models, have brought great changes to the analys… Article Critical Symbolic Virtual Narrative Open Bioinformatics Open Article Page