scPML – pathway-based multi-view learning for cell type annotation from single-cell RNA-seq data
Recent developments in single-cell technology have enabled the exploration of cellular heterogeneity at an unprecedented…
Browsing: Publications
Researchers use single-cell RNA sequencing to explore the effects of vascularization strategies on brain organoids
Researchers at Waseda University led by Assistant Professor Kosuke Kataoka, have uncovered crucial insights into brain…
Ambiguous genes due to aligners and their impact on RNA-seq data analysis
The main scope of the study is ambiguous genes, i.e. genes whose expression is difficult…
For metastatic prostate cancer, immunotherapy may have unexpected potential
Immunotherapy has been disappointing as a prostate cancer treatment, but a new Columbia study suggests…
New method tags cells with location coordinates for single-cell studies
The technique, called Slide-tags, allows scientists to map the location of cells within tissues in…
RedRibbon – A new rank–rank hypergeometric overlap for gene and transcript expression signatures
High-throughput omics technologies have generated a wealth of large protein, gene, and transcript datasets that…
DeconV – probabilistic cell type deconvolution from bulk rna-sequencing data
Bulk RNA-Seq remains a widely adopted technique to profile gene expression, primarily due to the…
SQANTI-SIM – a simulator of controlled transcript novelty for lrRNA-seq benchmark
Long-read RNA sequencing has emerged as a powerful tool for transcript discovery, even in well-annotated…
iRIL-seq – In vivo RNA interactome profiling
In a study published in Nature Communications, Prof. CHAO Yanjie’s group at the Institute of Shanghai Institute of…
Wistar scientists use RNA-Seq to identify esophageal cancer biomarkers
Wistar scientists have developed a new tool that can help identify cancer-associated microbes by using…