AIMC Journal:
bioRxiv

Showing 2561 to 2570 of 4979 articles

GRAVITY: Dynamic gene regulatory network-enhanced RNA velocity modeling for trajectory inference and biological discovery

bioRxiv
RNA velocity techniques have emerged as efficient tools for unraveling the complex trajectories of cell development and differentiation. However, most of existing RNA velocity approaches are constrained by estimating transcriptional parameters for ea...

Modularity-dependent storage of dynamic spiking patterns: bridging micro- and mesoscopic representations

bioRxiv
Biological systems rely on asynchronous and temporally overlapping dynamics, allowing for the concurrent activation of multiple processes. This principle is particularly evident in brain function, where cognitive tasks engage distributed, interacting...

Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples

bioRxiv
Human social interactions rely on the ability to reflect on one's own and others' internal states and traits--a process known as mentalizing. Impaired or altered mentalizing is a hallmark of multiple psychiatric and neurodevelopmental conditions. Yet...

An AI-Native Biofoundry for Autonomous Enzyme Engineering: Integrating Active Learning with Automated Experimentation

bioRxiv
The engineering of enzymes with novel functions is a cornerstone of synthetic biology but remains bottlenecked by the fragmentation between computational design and physical execution. While "self-driving" laboratories promise to resolve this, existi...

Ab initio prediction of RNA structure ensembles with RNAnneal

bioRxiv
RNA utilizes three-dimensional structure in addition to sequence to carry out diverse functions in gene expression and disease. Much like well-folded proteins, RNAs adopt specific three-dimensional structures to carry out their function. Yet comparat...

Graph neural network-based prediction of direct reprogramming factors using gene regulatory networks with microRNA-mediated regulation

bioRxiv
Direct reprogramming (DR) converts somatic cells directly into target cell types while bypassing an intermediate pluripotent state, such as induced pluripotent stem cells. In practice, DR is achieved by transfecting multiple transcription factors (TF...

DynaBiomeX: An Interpretable Dual-Strategy Deep Learning Framework for Architectural Noise Filtration in Sparse Longitudinal Microbiome Data

bioRxiv
Longitudinal biomedical datasets, particularly high-resolution microbiome profiles, present unique and complex challenges arising from their extreme sparsity, prevalence of zero inflation, and inherently dynamic, nonstationary behavior. Conventional ...

Rectifying Stress into Structural Memory Drives Specialization in Cells and Adaptive Computational Systems

bioRxiv
Functional specialization in continuous systems requires balancing adaptation to environmental stress with the preservation of encoded information. Yet, the physical constraints governing how living systems reconcile selective information retention w...

Individual Differences in Dopaminergic Modulation of Exploration-Exploitation Behaviour

bioRxiv
Dopamine (DA) has been implicated in exploration-exploitation behaviour, i.e., exploring novel, potentiallybetter options vs. exploiting known, previously rewarding options. Impairments in this trade-off occur inpsychiatric disorders involving DAergi...

The richness of little voices: using artificial intelligence to understand early language development

bioRxiv
How informative are preschoolers' speech vocalizations? Preschoolers' speech is often imprecise, highly variable and hard to interpret by humans and machines; consequently, its predictive value for later developmental outcomes remains quite underexpl...