The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. Technical and biological variations across studies ...
Single-cell technology has revolutionized the field of biological research by enabling the analysis of individual cells, providing unprecedented insights into cellular heterogeneity and function. More ...
Single-cell RNA sequencing (scRNA-seq) data have revolutionized our understanding of complex biological systems by revealing inherent cellular heterogeneity. Typically, scRNA-seq analysis involves ...
Starting from whole plant tissues and dissociating cells (protoplasts) or nuclei from the tissue, RNA extraction, cDNA synthesis by reverse transcription, library preparation followed by sequencing, ...
Multiple myeloma (MM) is an incurable blood cancer, leading to weakened immunity, bone damage, and other serious health issues. The high relapse rates following initial treatments make the search for ...
In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...
With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual plant cells at unprecedented resolution, opening new opportunities to ...
Single-cell RNA sequencing has emerged as one of the most important technologies for studying the transcriptome of individual cells at high resolution. One of the key tools in this space, Illumina’s ...
Human vs. AI: A comparative effectiveness study of large language models for automated biomarker extraction. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
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