Generative text-to-image models have gained great popularity among the public for their
powerful capability to generate high-quality images based on natural language prompts …

Abstract A-to-I RNA editing is the most common non-transient epitranscriptome modification.
It plays several roles in human physiology and has been linked to several disorders. Large …

Abstract The Cistrome Data Browser is a resource of ChIP-seq, ATAC-seq and DNase-seq
data from humans and mice. It provides maps of the genome-wide locations of transcription …

A series of recent studies has focused on designing cross-resolution and cross-device
visualizations, ie, responsive visualization, a concept adopted from responsive web design …

There has been substantial growth in the use of JSON-based grammars, as well as other
standard data serialization languages, to create visualizations. Each of these grammars …

The increasing reliance on Large Language Models (LLMs) for health information seeking
can pose severe risks due to the potential for misinformation and the complexity of these …

With the advent of large-scale datasets, visualization has become one of the most useful
concepts of data mining, that assists researchers to identify data patterns without manually …

While cities around the world are looking for smart ways to use new advances in data
collection, management, and analysis to address their problems, the complex nature of …

Latent vectors extracted by machine learning (ML) are widely used in data exploration (eg, t-
SNE) but suffer from a lack of interpretability. While previous studies employed disentangled …

The fields of Metagenomics and Metatranscriptomics involve the examination of complete
nucleotide sequences, gene identification, and analysis of potential biological functions …