bioRxiv

Showing 4481 to 4490 of 5021 articles

Designing minimal E. coli genomes using variational autoencoders

bioRxiv
Designing minimal bacterial genomes remains a key challenge in synthetic biology. There is currently a lack of efficient tools for the rapid generation of streamlined bacterial genomes, limiting research in this area. Here, using a pangenome dataset ...

Using GPT-4 to Automate the Generation of Lay Summaries for Cancer Publications

bioRxiv
Cancer research literature is often riddled with technical jargon that is not digestible to the average person. Individuals interested in research studies may want to contribute through patient partner engagement or sample donation but find the relev...

Identification of TREK channels in mouse intracardiac ganglion neurons

bioRxiv
The intracardiac nervous system is a complex neural network formed by a diffuse plexus, the so-called intracardiac ganglion (ICG). These ganglia locally innervate and control heart function, but little is known about how ICG neuronal activity is regu...

From Skin to Cortex: End-to-End Spiking Neural Network Simulation of Tactile Information Flow

bioRxiv
Autonomous systems and neuroprosthetic devices demand real-time tactile processing under strict energy and latency constraints. Designing these systems using neuromorphic principles, where communication is event-based and node activity is sparse, cou...

Longitudinal Identification of Zebrafish Individuals by Deep Learning

bioRxiv
The zebrafish (Danio rerio) is a critical vertebrate model organism in biomedical research. Accurate identification and longitudinal tracking of individual fish within cohorts enable linking genotype to complex phenotypes, essential for elucidating t...

Corticofugal gated recurrency captures auditory cortical responses

bioRxiv
Memory is essential for the neural processing of natural sounds. It has been proposed that cortical memory is subserved by gated recurrency, a powerful machine learning method that enables memory of sequential dependencies. However, standard forms la...

From Big Data to Small Scales: Machine Learning Enhances Microclimate Model Predictions

bioRxiv
1. Microclimates are critical for understanding how organisms interact with their environments, influencing behaviour, physiology, and species distributions. However, traditional physical heat-balance models for predicting ground temperatures in micr...

Passive Acoustic Monitoring within the Northwest Forest Plan Area: 2024 Annual Report

bioRxiv
Passive acoustic monitoring (PAM) has become the primary framework for assessing the status, distribution, and habitat associations of forest-dependent wildlife under the Northwest Forest Plan (NWFP). In 2024, the NWFP PAM program continued to operat...

Machine Learning Reveals Proteome-Encoded Growth Predictors of Rhodopseudomonas palustris CGA009 on Lignin Aromatics

bioRxiv
Microbial utilization of lignin-derived aromatics requires extensive metabolic flexibility, yet growth outcomes vary sharply with substrate chemistry and oxygen availability. Whether this variability reflects distinct growth programs or alternative r...

mmContext: an open framework for multimodal contrastive learning of omics and text data

bioRxiv
Multimodal approaches are increasingly leveraged for integrating omics data with textual biological knowledge. Yet there is still no accessible, standardized framework that enables systematic comparison of omics representations with different text en...