CT-TADB predicts TAD boundaries without Hi-C by integrating DNA sequences and epigenomic features [0.03%]
Tong Chen,Shuaibin Wang,Yuyu Jin et al.
Tong Chen et al.
Topologically associating domains (TADs) are fundamental units of three-dimensional genome organization, and their boundaries play important roles in gene regulation and genomic stability. However, accurate computational prediction of TAD b...
Flux sampling and graph neural networks for improved gene essentiality prediction in mammalian genome-scale metabolic models [0.03%]
Kieren Sharma,Lucia Marucci,Zahraa S Abdallah
Kieren Sharma
Gene essentiality, the requirement of a gene for survival or proliferation, is central to understanding cellular processes and identifying drug targets. Experimental determination requires large growth screens that are time-consuming and ex...
A rule-based simulation model illuminates the role of asymmetric mitochondrial fission on beta-cell health [0.03%]
Philipp Henning,Julia Schultz,Simone Baltrusch et al.
Philipp Henning et al.
Mitochondrial dynamics play a critical role in the development of aging-related diseases such as type 2 diabetes mellitus. To investigate how mitochondrial dynamics influence cellular behavior in pancreatic beta-cells, we developed a rule-b...
Hong Liu,Xuanfeng Li,Ning Sun et al.
Hong Liu et al.
Co-circulation of multiple influenza subtypes poses a major challenge to global public health. However, its specific impact on non-stationary epidemic sequences and coupling relationships with environmental drivers remains poorly understood...
Learning patient-specific spatial biomarker dynamics via operator learning for Alzheimer's disease progression [0.03%]
Jindong Wang,Yutong Mao,Xiao Liu et al.
Jindong Wang et al.
Alzheimer's disease (AD) is a complex, multifactorial neurodegenerative disorder with substantial heterogeneity in progression and treatment response. Despite recent therapeutic advances, predictive models capable of accurately forecasting ...
Yang Liu
Yang Liu
The form of phenotypic plasticity in traits that are repeatedly and potentially reversibly expressed multiple times throughout an individual's lifetime is labile plasticity. Yet, little is known about selection on, and genetic variation and...
Design principles for robust multistability in coupled feedforward-feedback regulatory circuits [0.03%]
Hong Qi,Zhi-Yu Zhao,Yu-Song Yin et al.
Hong Qi et al.
Feedforward loops (FFLs) and feedback loops (FBLs) are ubiquitous network motifs that mediate signal filtering, pulse generation, and state switching; yet, how coupling FBLs to FFLs produces robust multistability-a key mechanism for cellula...
Karoline Horgmo Jæger,Aslak Tveito
Karoline Horgmo Jæger
Excitable cells are commonly studied via the extracellular potentials (EPs) they generate, which underlie signals in electroencephalography (EEG), electrocardiography (ECG), and multielectrode array (MEA) recordings. However, some excitable...
Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia [0.03%]
关联感觉时空层次和功能梯度正则化递归神经网络在精神分裂症中的应用
Subati Abulikemu,Puria Radmard,Michail Mamalakis et al.
Subati Abulikemu et al.
The human neocortex is functionally organised at its highest level along a continuous sensory-to-association (AS) hierarchy. This study investigates two questions-how this hierarchy is structurally altered in schizophrenia, and what these a...