BoT-Net – a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction
Interactions of long non-coding ribonucleic acids (lncRNAs) with micro-ribonucleic acids (miRNAs) play an essential role…
Browsing: Publications
Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing
Detection of oncogenic fusion genes in cancers, particularly in the diagnosis of uncertain tumors, is…
RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound
A comprehensive atlas of microRNA and messenger RNA expression in healing and non-healing human wounds…
Sample-multiplexing approaches for single-cell sequencing
Single-cell sequencing is widely used in biological and medical studies. However, its application with multiple…
Researchers use single-cell approaches and deep learning to map all stages of fruit fly embryo development
Possibly moving one-step closer to predictive embryonic genomics A new atlas that maps the continuum…
DeLTa-Seq – direct-lysate targeted RNA-Seq from crude tissue lysate
Quantification of gene expression such as RNA-Seq is a popular approach to study various biological…
STRIDE – a topic-model-based method to deconvolve spatial transcriptomics using scRNA-seq
The recent advances in spatial transcriptomics have brought unprecedented opportunities to understand the cellular heterogeneity…
Researchers find heart failure arises from mutations in numerous distinct genes
Microscope images of healthy heart tissue (left) and diseased heart tissue (right). Cell boundaries are…
Transcriptome diversity in human tissues mapped with emerging long-read RNA sequencing technology
Expression of different forms of genes in human tissues has been mapped at unprecedented depth…
Significance analysis for clustering with single-cell RNA-sequencing data
Unsupervised clustering of single-cell RNA-sequencing data enables the identification and discovery of distinct cell populations.…