RNA-Seq Blog Transcriptome Research & Industry News
Stanford researchers have developed a computational platform for analyzing the molecular behavior of individual cells in tissue samples,...
Read More »New computational tool enables powerful molecular analysis of biomedical tissue samples
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- BoT-Net – a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction
- Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing
- Kassandra – precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes
- RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound
- Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data
- SMaSH – a scalable, general marker gene identification framework for single-cell RNA-sequencing
- PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics
- Sample-multiplexing approaches for single-cell sequencing
- Application of Single Cell Sequencing (SCS) Technology
- Researchers use single-cell approaches and deep learning to map all stages of fruit fly embryo development