AIMC Journal:
bioRxiv

Showing 101 to 110 of 4935 articles

Rank-Preserving Alignment Enables Cross-platform Learning and Phenotyping for Single-Cell and Spatial Proteomics

bioRxiv
Decades of antibody-based protein profiling have generated valuable cohorts across evolving cytometry, sequencing and spatial imaging platforms. Differences in marker coverage, signal scale and antibody performance hinder joint analysis and reuse of ...

Genetic risk and inflammatory signaling converge on cell type-specific regulatory programs in type 1 diabetes

bioRxiv
Type 1 diabetes (T1D) is a complex autoimmune disease characterized by the destruction of insulin-producing pancreatic {beta} cells. Both genetic susceptibility and epigenetic dysregulation contribute to T1D risk. Recent studies have reported {beta}-...

A Dynamics-Informed Machine Learning Framework for Inhibitor Optimization Against Quickly Evolving Targets to Avoid Resistance

bioRxiv
Drug resistance often emerges through mutations that reshape protein conformational ensembles, allowing inhibitor potency to be altered without directly disrupting protein-ligand contacts. Consequently, the molecular mechanisms underlying these effec...

Inferring the evolving objectives that organize animal behavior

bioRxiv
Understanding how the brain supports flexible, goal-directed behavior is a central aim of neuroscience. Yet such behavior is highly variable and unfolds over long timescales, making it challenging to understand its organization. Advances in behaviora...

Digital-twin optimized transcranial temporal interference electrical stimulation alters rat brain activity patterns and metabolism including deep structures

bioRxiv
Non-invasive deep-brain stimulation (DBS) using transcranial alternating current stimulation (tACS) with temporal interference (TI) has emerged as a promising approach for therapeutic applications in motor and neuropsychiatric disorders. Here, we pre...

AREION: A Foundation Model for Atlas-Agnostic Representation Learning of Brain Connectome

bioRxiv
Brain foundation models have shown promising advances in learning generalizable representations from functional magnetic resonance imaging (fMRI) data. However, existing models are typically tied to specific brain atlases and cannot be applied to fMR...

Decoding brain anatomy from neuronal neighborhoods with MYCEL

bioRxiv
Extracellular recordings carry information about neuronal location, and pooling per-unit predictions across neighboring electrodes improves its readout, but whether this local pooling should be learned is untested. We present MYCEL (Message-passing Y...

Predicting viral host range for reverse zoonosis surveillance

bioRxiv
Zoonotic transmission of viruses has triggered major outbreaks throughout history. However, human-to-animal transmission, or reverse zoonotic transmission, also represents an underappreciated public health threat. Reverse zoonoses can establish novel...

From Flocks to Swarms: Rewriting the Rules of Collective Cell Migration

bioRxiv
From flocking birds to swarming insects, collective motion enables groups to accomplish tasks beyond the capabilities of individuals. These behaviors emerge from local interactions among group members, but the interaction rules that organize collecti...

Reconstructing tumor evolution without chromosomal instability reveals in vivo determinants of therapeutic response

bioRxiv
Tumor responses to therapy are profoundly shaped by selective pressures operating in vivo, including tumor-host interactions, tissue architecture, and endocrine signaling, yet most genome-scale approaches are conducted in vitro. We developed Stochast...