Profiling samples from patients, tissues, and cells with genomics, transcriptomics, epigenomics,
proteomics, and metabolomics ultimately produces lists of genes and proteins that need …

We report the creation of Drug Signatures Database (DSigDB), a new gene set resource
that relates drugs/compounds and their target genes, for gene set enrichment analysis (GSEA). …

The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop
resistance that might be overcome with drug combinations. However, the number of possible …

Pre-trained language models (LMs) have become ubiquitous in solving various natural
language processing (NLP) tasks. There has been increasing interest in what knowledge these …

Millions of transcriptome samples were generated by the Library of Integrated Network-based
Cellular Signatures (LINCS) program. When these data are processed into searchable …

Jupyter Notebooks have transformed the communication of data analysis pipelines by
facilitating a modular structure that brings together code, markdown text, and interactive …

As the volume of publications rapidly increases, searching for relevant information from the
literature becomes more challenging. To complement standard search engines such as …

With accelerating advances in artificial intelligence, it is clear that introducing K-12 students
to AI is essential for preparation to interact with and potentially develop AI technologies. To …

Background Vaccination against coronavirus disease 2019 (COVID-19) is underway globally
to prevent the infection caused by the severe acute respiratory syndrome coronavirus 2. …

Despite decades of intensive search for compounds that modulate the activity of particular
protein targets, a large proportion of the human kinome remains as yet undrugged. Effective …