Understanding the consequences of genotype for phenotype (which ranges from molecule-
level effects to whole-organism traits) is at the core of genetic diagnostics in medicine. Many …

Mapping gene networks requires large amounts of transcriptomic data to learn the
connections between genes, which impedes discoveries in settings with limited data …

Many transcription factors (TFs) function as tumor suppressor genes with heterozygous
phenotypes, yet haploinsufficiency generally has an underappreciated role in neoplasia …

Altered cellular metabolism in kidney proximal tubule (PT) cells plays a critical role in acute
kidney injury (AKI). The transcription factor Krüppel-like factor 6 (KLF6) is rapidly and …

Researching genes and their interactions is crucial for deciphering the fundamental laws of
cellular activity, advancing disease treatment, drug discovery, and more. Large language …

Liquid–liquid phase separation (LLPS) is a molecular process that leads to the formation of
membraneless organelles, representing functionally specialized liquid-like cellular …

Transcription factors (TFs) are life-sustaining and, therefore, the subject of intensive
research. By regulating gene expression, TFs control a plethora of developmental and …

Throughout evolution, there has been interaction and exchange between RNA pools in the
environment, and DNA and RNA pools of eukaryotic organisms. Metagenomic and …

Inspired by the advancements in pre-trained Large Language Models, there has been a
surge of studies in the Life Sciences focusing on constructing foundation models with large …

Abstract Representation learning approaches leverage sequence, expression, and network
data, but utilize only a fraction of the rich textual knowledge accumulated in the scientific …