AIMC Journal:
bioRxiv

Showing 2521 to 2530 of 4979 articles

Deep Learning Reveals Cross-Modal Neural Representations of Auditory and Visual Mental Imagery in MEG

bioRxiv
Mental imagery provides a unique window into the brain's ability to internally simulate sensory experiences, offering valuable insights for both cognitive neuroscience and brain-computer interface (BCI) research. This study examined the neural repres...

Bayesian neural networks enable inference of complex phylodynamic processes

bioRxiv
Phylogenetic branching patterns carry essential information about population and diversification dynamic processes, including speciation, extinction, and epidemiological transmission. Phylodynamic models offer a rigorous mathematical framework for qu...

Optimal hearing aid design through restoration of the neural code

bioRxiv
Hearing loss introduces complex distortions in the neural coding of sound that current hearing aids fail to address. Here, we leverage tools for neural control via deep learning to identify novel sound processing strategies to correct these distortio...

AbNovoBench: a resource and benchmarking platform for monoclonal antibody de novo sequencing

bioRxiv
Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performance of mass spectrometry (MS)-based de novo sequencing remains incompletely characterized due to limited antibody-specific datasets and the absence of ...

Predicting evolutionary rate as a pretraining task improves genome language model representations

bioRxiv
Genome language models (gLM) have the potential to further understanding of regulatory genomics without requiring labeled data. Most gLMs are pretrained using sequence reconstruction tasks inspired by natural language processing, but recent studies h...

Selective Glucocorticoid Receptor Modulators of Immune Checkpoint Function

bioRxiv
Glucocorticoids (GCs) coordinate immunity, inflammation and metabolism through allosteric regulation of the glucocorticoid receptor (GR) transcription factor. GCs are indispensable anti-inflammatory drugs yet linking specific ligand and receptor stru...

Structure-aware Graph Learning Predicts RNA Editability Across Tissues and Species

bioRxiv
Programmable A-to-I RNA editing using endogenous ADAR enzymes is emerging as a therapeutic strategy, but editability remains difficult to predict because ADAR recognition depends on double-stranded RNA geometry and stability rather than sequence alon...

Nested birth-death processes are competitive with parameter-heavy neural networks as time-dependent models of protein evolution

bioRxiv
Most statistical phylogenetics analyses use relatively simple continuous-time finite-state Markov models of point substitution to describe molecular evolution, often keeping sequence length fixed, ignoring insertions and deletions (indels) entirely, ...

APOE ε4 defines a systemic immune endophenotype independent of clinical trajectory in amyotrophic lateral sclerosis

bioRxiv
Background: Amyotrophic lateral sclerosis (ALS) is clinically heterogeneous, and genetic modifiers may drive molecular endophenotypes without obvious clinical stratification. The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is a major A...

Live-cell imaging enables reporter-free monitoring of the circadian rhythm in individual Synechocystis cells

bioRxiv
In vivo monitoring of circadian rhythms depends on reliable and non-invasive detection methods. This is often achieved by expressing reporter genes heterologously under the control of a circadian promoter. The activity or fluorescence of the gene pro...