bioRxiv

Showing 4161 to 4170 of 5016 articles

The oneirogen hypothesis: modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms

bioRxiv Jan 1, 2025
Classical psychedelics induce complex visual hallucinations in humans, generating percepts that are coherent at a low level, but which have surreal, dream-like qualities at a high level. While there are many hypotheses as to how classical psychedelic...
View on bioRxiv DOI

Deciphering the Antigenic Evolution of Seasonal Influenza A Viruses with PREDAC-Transformer: From Antigenic Clustering to Key Site Identification

bioRxiv Jan 1, 2025
Seasonal influenza viruses undergo continuous antigenic drift due to mutations in the hemagglutinin (HA) protein, rendering vaccines ineffective and posing a significant global public health challenge. Existing computational models can predict antige...
View on bioRxiv DOI

FiGS-MoD: Feature-informed Gibbs Sampling Motif Discovery Algorithm for Mapping Human Signaling Networks

bioRxiv Jan 1, 2025
Short linear motifs (SLiMs) are short sequence patterns that mediate transient protein-protein interactions, often within disordered regions of proteins. SLiMs play central roles in signaling, trafficking, and post-translational regulation, but their...
View on bioRxiv DOI

Rapidly Reconfigurable Dynamic Computing in Neural Networks with Fixed Synaptic Connectivity

bioRxiv Jan 1, 2025
Learning and memory in the brain’s neocortex have long been hypothesised to be primarily mediated by synaptic plasticity. Extensive research in artificial neural networks has shown that training networks by adjusting connection weights faces computat...
View on bioRxiv DOI

CardioWAS Pathway-Based RNA-Seq and Genome Integration Platform for CVD Omics-Wide Associations

bioRxiv Jan 1, 2025
The integration of transcriptomic and genomic data is essential for dissecting the molecular basis of complex cardiovascular diseases (CVD). Existing resources primarily focus on differential gene expression at the individual gene level, with limited...
View on bioRxiv DOI

Biologically informed neural network models are robust to spurious interactions via self-pruning

bioRxiv Jan 1, 2025
Computational models of cellular networks hold promise to uncover disease mechanisms and guide therapeutic strategies. Biology-informed neural networks (BINNs) is an emerging approach to create such models by combining the predictive power of deep le...
View on bioRxiv DOI

FlashRNA: An Efficient Model for Regulatory Genomics

bioRxiv Jan 1, 2025
Transformer-based genomic sequence-to-function models effectively capture long-range genomic interactions but incur high computational costs due to the quadratic complexity of their self-attention layers. In this work, we introduce FlashRNA, which si...
View on bioRxiv DOI

Positional frequency chaos game representation for machine learning-based classification of crop lncRNAs

bioRxiv Jan 1, 2025
Alignment-based methods are fundamental for sequence comparison but are often computationally prohibitive for large-scale genomic analyses. This limitation has spurred the development of quicker, alignment-free alternatives, such as k-mer analysis, w...
View on bioRxiv DOI

Map of spiking activity underlying change detection in the mouse visual system

bioRxiv Jan 1, 2025
Visual behavior requires coordinated activity across hierarchically organized brain circuits. Understanding this complexity demands datasets that are both large-scale (sampling many areas) and dense (recording many neurons in each area). Here we pres...
View on bioRxiv DOI

Predicting MammaPrint Recurrence Risk from Breast Cancer Pathological Images Using a Weakly Supervised Transformer

bioRxiv Jan 1, 2025
Recurrence related to poor prognosis is a leading cause of mortality in patients with breast cancer (BC). The MammaPrint (MP) genomic assay is designed to stratify recurrence risk and evaluate chemotherapy benefits for early-stage HR+/HER2- BC patien...
View on bioRxiv DOI
Popular Topics
Popular Journals