AIMC Journal:
bioRxiv

Showing 2891 to 2900 of 4993 articles

MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities

bioRxiv Jan 1, 2025
Modeling cellular responses to genetic perturbations is a significant challenge in computational biology. Measuring all gene perturbations and their combinations across cell types and conditions is experimentally challenging, highlighting the need fo...
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Prediction of bacterial protein-compound interactions with only positive samples

bioRxiv Jan 1, 2025
Prediction of Compound-Protein Interactions (CPI) in bacteria is crucial to advance various pharmaceutical and chemical engineering fields, including bio-catalysis, drug discovery, and industrial processing. However, current CPI models cannot be appl...
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Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cells

bioRxiv Jan 1, 2025
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions govern tumor growth and clinical outcome. While multiple studies have extensively charted the TME’s impact on immunotherapy, its role in chemotherapy res...
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Phenotypic scoring of Canola Blackleg severity using machine learning image analysis

bioRxiv Jan 1, 2025
Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is throug...
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Optimization of connectome weights for a neural network model generating both forward and backward locomotion in C. elegans

bioRxiv Jan 1, 2025
Previous studies tracking the relationship between manipulations of C. elegans neurons and the resulting behavioral changes have called for the development of a connectome-constrained neural network model that describes the cascade from neurons to be...
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A Deep Learning-based Method for Drug Molecule Representation and Property Prediction

bioRxiv Jan 1, 2025
Accurately and robustly representing drug molecule features, prediction of drug-target biomacromolecule interactions, and determining drug molecule physicochemical properties are crucial in drug development. However, due to issues such as insufficien...
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A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

bioRxiv Jan 1, 2025
Car sickness, an enormous vehicular travel challenge, affects a significant proportion of the population. Pharmacological interventions are limited by adverse side effects, and effective nonpharmacological alternatives remain to be identified. Here, ...
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Deep Learning Prediction of Intact N-/O-Glycopeptide Tandem Mass Spectra Enhances Glycoproteomics

bioRxiv Jan 1, 2025
Protein glycosylation, a post-translational modification involving the attachment of glycans to proteins, plays critical roles in numerous physiological and pathological cellular functions. Characterization of protein glycosylation is among one of th...
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Controllable Protein Design by Prefix-Tuning Protein Language Models

bioRxiv Jan 1, 2025
The design of novel proteins with tailored functionalities, particularly in drug discovery and vaccine development, presents a transformative approach to addressing pressing biomedical challenges. Inspired by the remarkable success of pre-trained lan...
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spRefine Denoises and Imputes Spatial Transcriptomics with a Reference-Free Framework Powered by Genomic Language Model

bioRxiv Jan 1, 2025
The analysis of spatial transcriptomics is hindered by high noise levels and missing gene measurements, challenges that are further compounded by the higher cost of spatial data compared to traditional single-cell data. To overcome this challenge, we...
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