bioRxiv

Showing 4541 to 4550 of 5021 articles

Flexible brain state engagement predicts cognitive control transdiagnostically

bioRxiv
Cognitive control supports adaptive responses in an ever-changing world. While alterations in cognitive control have been consistently observed in a range of psychiatric disorders, the neural mechanisms giving rise to this behavioral variation remain...

Hierarchical Machine Learning Uncovers Topological Signatures of Autophagy Regulation by Oral Bacteria in Oral Squamous Cell Carcinoma

bioRxiv
Oral squamous cell carcinoma (OSCC) progression has been increasingly linked to dysbiosis of the oral microbiome. We hypothesized that pathogenic versus commensal bacteria differentially rewire host autophagy networks to either promote or inhibit OSC...

Acropora millepora’s microbiome is predicted by algal symbionts, host genetics, and environment

bioRxiv
The coral microbiome is a critical component of coral health and resilience, yet it is unclear what factors drive coral microbiome composition, especially within the context of coral bleaching. Here, we use whole genome sequencing data combined with ...

A Computational Pipeline for Glioblastoma Vaccine Development: Integrating Novel Omics-Driven OIP5 Target Discovery to Create a Deep Learning-Based Immunogenicity Framework for Personalized Immunotherapy

bioRxiv
This work introduces a modular, open-source computational pipeline for glioblastoma (GBM) vaccine design that integrates omics-based OIP5 target discovery with a deep learning framework for epitope immunogenicity prediction. Building upon conventiona...

Multiple instance learning on tile level-pathology images provides accurate and interpretable classification for breast cancer molecular subtypes

bioRxiv
Accurate breast cancer molecular subtyping is critical for treatment decisions, yet standard methods such as immunohistochemistry and gene expression profiling are costly and labor intensive. Deep learning classification approaches using Hematoxylin ...

VIP-OT: Dissecting Single-Cell Biochemical State Dynamics under Perturbation via Vibrational Painting and Optimal Transport

bioRxiv
Dissecting the heterogeneous response of individual cells towards genetic and chemical perturbations is central to understanding the dynamic functions of cells and multicellular systems. However, characterizing and modeling how individual cells trans...

Ensemble-Based Deep Learning for Breast Cancer Detection and Classification in Histopathological Images

bioRxiv
Breast cancer remains one of the leading causes of cancer-related mortality worldwide, with early detection being crucial for improved patient outcomes. This paper presents a comprehensive deep learning framework for automated breast cancer detection...

De novo design of protein competitors for small molecule immunosensing

bioRxiv
Competition-based immunoassays are a common strategy for detecting small-molecule biomarkers. However, these assays rely on the availability of a custom competitor molecule that can effectively be displaced upon analyte binding, often requiring time-...

Dysregulated Microglial Synaptic Engulfment in Diffuse Midline Glioma

bioRxiv
Diffuse midline glioma (DMG) is a near-universally lethal form of pediatric high-grade glioma, driven by neuronal activity-regulated paracrine signaling and synaptic integration of malignant cells into neural circuits. In turn, DMG increases neuronal...

Cross-modal quality transfer: enhancing MEG spatial resolution using BOLD-fMRI and Explainable machine learning

bioRxiv
Blood-oxygen-level-dependent functional MRI (BOLD-fMRI) and magnetoencephalog-raphy (MEG) offer complementary insights into brain function, with BOLD-fMRI providing high spatial resolution and MEG offering high temporal sensitivity. This study aimed ...