When AI Meets Bioinformatics

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With the exponential growth in biological data and the increasing complexity of analyses required to interpret it, AI is emerging as a critical tool in bioinformatics, enhancing traditional methods and opening new frontiers in life sciences. These tools are helping researchers uncover complex biological phenomena with remarkable speed and precision. By leveraging machine learning algorithms…

From Markers to Machine Learning: Transforming Cell Type Annotation with GPT-4

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Introduction to Single-cell RNA Sequencing and Cell Type Annotation In recent years, Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for advancing biological research by enabling the exploration of cellular heterogeneity at high resolution. One of the key steps in scRNA-seq analysis is cell type annotation, where cells are assigned biological identities based…