AIMC Journal:
bioRxiv

Showing 2061 to 2070 of 4956 articles

HAETAE: A highly accurate and efficient epigenome transformer for tissue-specific histone modification prediction

bioRxiv
While genomic models trained on four bases often fail to capture cell-type specificity, we introduce HAETAE, which integrates 5-methylcytosine from long-read sequencing into a 5-base framework. By explicitly modeling epigenetic context, HAETAE achiev...

EmbryoTempoFormer: clip-based developmental tempo inference from zebrafish brightfield time-lapse microscopy

bioRxiv
Quantitative changes in zebrafish embryonic developmental tempo are key phenotypes in drug screening, genetic perturbation, and environmental stress studies. However, manual staging is labor-intensive and subjective, and nominal hours post fertilizat...

SwiftTCR: Efficient Computational Docking protocol of TCRpMHC-I Complexes Using Restricted Rotation Matrices

bioRxiv
The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recognizes peptides presented by MHC molecules. Understanding this TCR-peptide-MHC (TCRpMHC) interaction is important for cancer immunotherapy design, tissu...

Information-making processes in the speaker's brain drive human conversations forward

bioRxiv
Natural human conversation is driven by the exchange of information-rich messages that surprise the listener and deviate from predictable context. While extensive research has characterized how the brain processes unexpected linguistic input during c...

Fine-scale environmental, genetic, and temporal factors can drive the coral, sediment, and water column metagenome on reefs

bioRxiv
Understanding the stability of microbial community assembly on coral reefs is crucial for determining their response to changing environments. Here, we evaluate how the marine sediment, water column, and mountainous star coral (Orbicella faveolata) m...

Computed atlas of the human GPCR-G protein signaling complexes

bioRxiv
Experimental mapping of G protein-coupled receptors (GPCR)-G protein signaling coupling has illuminated hundreds of receptors, yet the coupling specificity of a large fraction of this large receptor family remains unknown, thereby preventing the deve...

Machine-Learning-Based spike marking in signal and source space EEG from a patient with focal epilepsy

bioRxiv
Accurate detection of interictal epileptiform discharges (IEDs) in electroencephalography (EEG) plays a crucial role in epilepsy diagnosis. Our work investigates the classification of IEDs using Artificial Neural Networks (ANNs) trained on EEG data r...

Characterizing EEG Spectro-Temporal Variability Signatures in Alzheimer's and Parkinson's Disease

bioRxiv
We present an EEG-based approach to characterize disease-related spectro-temporal signatures in Alzheimer's disease (AD) and Parkinson's disease (PD). To this end, key spectral features were first identified using explainable machine learning, and th...

SpatioCAD: Context-aware graph diffusion model for pinpointing spatially variable genes in heterogeneous tissues

bioRxiv
Spatial transcriptomics enables comprehensive characterization of tissue architecture, and the identification of spatially variable genes (SVGs) is a critical step for defining region-specific molecular markers and uncovering spatially regulated mech...

InversePep: Diffusion-Driven Structure-Based Inverse Folding for Functional Peptides

bioRxiv
Designing functional peptides with specific structural and biochemical properties is critical for applications in protein engineering and therapeutic discovery. However, most peptide design approaches rely on evolutionary or local sequence optimizati...