Cancer-associated fibroblasts (CAFs) are a major stromal component of the tumor microenvironment (TME) and actively participate in tumor progression. Although CAF heterogeneity in colorectal cancer (CRC) is increasingly recognized, how individual CAF subpopulations simultaneously…
Empirical Bayes (EB) performs simultaneous inference across many related latent variables. Classical EB assumes that the likelihood p(x | z) is tractable. In many scientific applications, however, the likelihood is available only through a simulator. This paper develops EB for su…
Abstract. Ongoing climate warming is impacting the frequency and magnitude of extreme weather. The high sensitivity of snow to changes in temperature and precipitation makes it a primary indicator of climate change. Previous studies have proven that the snow cover extent has decr…
Large language models (LLMs) exhibit strong reasoning and world-knowledge capabilities, yet often struggle to gather information effectively across the multi-turn interactions required in sequential decision-making settings. We introduce Amortised Sequential Information Gathering…
Anticipating and understanding cancers’ need for specific gene activities is key for novel therapeutic development. Here we utilized DepMap, a cancer gene dependency screen, to demonstrate that machine learning combined with network biology can produce robust algorithms that both…