AIMC Journal:
bioRxiv

Showing 1751 to 1760 of 4956 articles

A machine learning approach to infer DNase1L3 activity from plasma cell-free DNA fragmentomics

bioRxiv
DNase1L3 is an endonuclease that fragments DNA during apoptosis and digests DNA from microparticles in plasma, shaping key features of cell-free DNA (cfDNA) and maintaining extracellular DNA homeostasis, a process implicated in autoimmunity. The comm...

Combining AI structure prediction and integrative modelling for nanobody-antigen complexes

bioRxiv
Nanobodies exhibit antigen binding a[ffi]nities of the same order as those of antibodies, which, along with their small size and unique structural characteristics, makes them well-suited for therapeutic and diagnostic applications. The lack of coevol...

Integrative Bioinformatics Approach to Identify Prognostic Gene Signatures for Risk Stratification in Thyroid Carcinoma

bioRxiv
Thyroid cancer is a heterogeneous malignancy with variable outcomes, highlighting the need for reliable biomarkers and effective risk stratification. In this study, we implemented a multi-step integrative framework to identify distinct prognostic bio...

Reference-free compound identification using computational prediction of molecular properties and multi-dimensional spectrometric measurements: a fentanyl case study

bioRxiv
Mass spectrometry is used to identify chemicals to which humans are exposed, but it cannot directly determine molecular structures. Instead, structures are inferred by matching experimental spectra to libraries of spectra constructed from analyses of...

HyperMap: An Efficient Framework for Transferring Perturbation Responses Across Diverse Biological Contexts

bioRxiv
Recent perturbation atlases profile transcriptional responses to thousands of targeted perturbations in a reference cell type. Generalising these datasets across lineages and individuals has been problematic, however, as similar baseline transcriptom...

Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit

bioRxiv
Real-time assessment of human pluripotent stem cell (hPSC) quality is critical for reproducibility and safety in regenerative medicine, yet current methods are invasive, labor-intensive, or highly operator-dependent. We present DeepHOPE (Deep-learnin...

Mucus transcriptional profiling as a minimally invasive approach to identify thermal stress in a stenothermal salmonid

bioRxiv
Global climate change has increased the frequency and severity of stressful temperatures that freshwater fishes experience, necessitating rapid and sensitive methods to monitor wild populations. Tissues used to measure transcriptional responses tradi...

Generative Augmentation Reveals Previously Overlooked Signals in Transcriptomic Datasets

bioRxiv
Identifying robust gene expression signatures from transcriptomic studies with small sample sizes remains one of the most persistent challenges in computational biology. Gene expression datasets have thousands of features but only a handful of biolog...

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

bioRxiv
Interventions that extend lifespan do not necessarily preserve healthspan, the portion of life spent in good health. This disconnect has intensified interest in biological aging clocks as quantitative proxies of organismal health. However, most exist...

All Models are Wrong, Some are Annotated: Automating Metadata in Biomedical Repositories

bioRxiv
Objective: High-quality metadata is essential for scientific discovery, yet sparse annotations in rapidly growing repositories leave many biologically relevant details uncaptured. We evaluated whether large language models (LLMs) can accurately infer...