AIMC Journal:
bioRxiv

Showing 681 to 690 of 4938 articles

Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics

bioRxiv
Single-cell transcriptomics technology offers unprecedented insights into molecular heterogeneity. However, capturing sample-level representations that reflect both systemic and cellular states remains challenging, especially when disease annotations...

Development of Audiovisual Integration in Beginning Readers: A Longitudinal fMRI Study

bioRxiv
Acquiring reading proficiency, unlike spoken language, requires the brain to engage several specialized neural systems to map visual symbols (letters) to their corresponding phonological sounds (audiovisual integration), laying the foundation for flu...

Constraints for spatially and temporally precise learning in a neural circuit model of reinforcement learning

bioRxiv
Reinforcement learning is a key means by which animals learn appropriate actions in a given context. A large body of work suggests that such learning depends on interactions between cortico-basal ganglia circuits and the midbrain dopaminergic system,...

A hybrid machine learning and enzyme-constrained metabolic model for ab initio prediction of proteome reallocation

bioRxiv
High expression of heterologous proteins in microbial cell factories frequently triggers a severe burden due to reallocation of finite cellular proteome. Conventional constraint-based models struggle to predict these resource shifts ab initio without...

ProtSyntax: a protein large language model for decoding post-translational modification syntax and function

bioRxiv
Post-translational modifications (PTMs) regulate protein function through dependencies among residue chemistry, sequence context, three-dimensional microenvironments and modification states, yet most predictors model sites independently and do not co...

Vision Normalizing Flows for the probability-informed detection of banana diseases from in-field images

bioRxiv
Banana diseases impose severe production losses in tropical smallholder farming systems, yet accurate in-field visual diagnosis remains difficult: symptom expression varies across cultivars and growth stages, and several diseases produce morphologica...

The hypoxic response extends lifespan through a bioaminergic and peptidergic neural circuit.

bioRxiv
A coordinated response to stress is crucial for promoting the short- and long-term health of an organism. The perception of stress, frequently through the nervous system, can lead to physiological changes that are fundamental to maintaining homeostas...

Combining Stability-Centered Atomistic Design with Machine Learning for Targeted Enzyme Optimization

bioRxiv
FuncLib and high-throughput FuncLib (htFuncLib) generate diverse, functional protein libraries using a stability-centered design; however, this substrate-independent approach lacks target-specific functional constraints. We developed a machine-learni...

Using large language models for enhancing accessibility for Monte Carlo photon transport simulations and beyond

bioRxiv
Significance: Computational modeling and the use of simulation software tools are essential for biomedical optics research. Designing effective simulations often requires in-depth understanding of the underlying physical problems and proper configura...

Psilocybin asymmetrically modulates outcome-based choice and cortical processing under uncertainty

bioRxiv
Emerging clinical research with psilocybin highlights the value of the psychedelic experience on successful treatment of a multitude of psychiatric disorders. While the psychedelic trip or clinical support procedures cannot be modeled in rodents, neu...