7 papers · ranked by Valyu relevance
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon + 5 more
Although probabilistic computing offers a route to quantum-inspired optimization at room temperature, existing probabilistic bits (p-bits) often depend on non-CMOS devices or circuit-intensive randomness. Here, we report a CMOS-compatible p-bit that harnesses intrinsic random telegraph noise (RTN) in a fully depleted…
Jackie Rao, Muntadher Jihad, Giulia Biffi, Paul D.W. Kirk
Identifying cell types from single-cell RNA sequencing (scRNA-seq) data typically requires several separate and often uninterpretable steps: dimensionality reduction, batch-correction, clustering, marker-gene identification and the discovery of finer-grained structure. Here we introduce scFLAME (single-cell Factor…
Yi Ren, Zimei Chen, Hayden Deans, Ying Nian Wu + 1 more
Extensive studies suggest the brain performs Bayesian inference to infer the latent world states. It is a fundamental neuroscience question that how canonical recurrent neural circuits in the brain implement Bayesian inference. Many existing theoretical studies focused on how the recurrent circuits compute the…
Linsui Deng, Kejun He, Xianyang Zhang
Mendelian randomization (MR) has been widely used to infer causal relationships between exposures and outcomes in epidemiological studies. However, classical MR assumptions can be violated when genetic variants are associated with outcomes through pathways other than the exposure, leading to uncorrelated and/or…
Marco Tarabini, Genevieve Williams, Suzanne Smith, Setsuo Maeda + 1 more
Purpose This work evaluates the scientific foundation and practical applicability of the Health Guidance Caution Zone (HGCZ) defined in the ISO 2631-1 standard for assessing health risks from whole-body vibration. The primary objective is to investigate the HGCZ’s derivation process, its underlying data sources, and…
John Tower
Biological information is generally thought to be subject to selection for faithful maintenance. However, accurate preservation is often combined with regulated mechanisms that generate state change. Selectively advantageous instability (SAI) is modeled here as instability that is favored because useful alternatives…
Yuesong Wu, Haohao Su, Yuehua Cui
Cell-cell communication (CCC) is essential for maintaining tissue organization and driving biological progression, yet its inference from transcriptomic data has long been limited by the absence of spatial context. Advances in spatial transcriptomics (ST) now enable mechanistically grounded analyses of CCC by…