
scANANSE – gene regulatory network and motif analysis of single-cell clusters
The recent development of single-cell techniques is essential to unravel complex biological systems. By measuring…
The recent development of single-cell techniques is essential to unravel complex biological systems. By measuring…
Although an essential step, cell functional annotation often proves particularly challenging from single-cell transcriptional data.…
Single-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) is a powerful tool to study cellular heterogeneity. The high…
Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities simultaneously to capture the intricacy of…
Gene-centric analysis is commonly used to chart the structure, function, and activity of microbial communities…
Shandong University researchers have developed DeepBIO, the first-of-its-kind automated and interpretable deep-learning platform for high-throughput…
Amongst the major challenges in next-generation sequencing experiments are exploratory data analysis, interpreting trends, identifying…
Amplicon sequencing is an effective and increasingly applied method for studying viral communities in the…
Effective dimension reduction is essential for single cell RNA-seq (scRNAseq) analysis. Principal component analysis (PCA)…
Columbia researchers invent a technique to study cancer tissues archived in biobanks, increasing the number…