AIMC Journal:
bioRxiv

Showing 1021 to 1030 of 4938 articles

Machine learning evaluation of gene expression-based ALS subtypes across brain and blood tissues

bioRxiv
The clinical and molecular heterogeneity observed in amyotrophic lateral sclerosis (ALS) presents a challenge for diagnosis, prognosis, and treatment. RNA sequencing of post-mortem brain samples from ALS patients has identified several subtypes with ...

Artificial Intelligence Models for Classifying Wrist Ligament Injuries Using Synthetically-Generated Joint Proximity Maps from Finite Element Models

bioRxiv
Background/Purpose: Diagnosing wrist ligament injuries is challenging; early detection and treatment are important to prevent osteoarthritis progression. Interosseous proximity maps, a proxy measure for joint space, can be generated from volumetric i...

Hierarchical classification of immune cell transcriptomes at population-scale

bioRxiv
Accurate immune cell classification is essential for interpreting single-cell RNA sequencing (scRNA-seq) data. However, progress in automating cell type annotation is constrained by the lack of independent, high-resolution benchmarks, as routine data...

A single computational objective can produce specialization of streams in visual cortex

bioRxiv
Human visual cortex is organized into dorsal, lateral, and ventral streams. A long-standing hypothesis is that the functional organization into streams emerged to support distinct visual behaviors. Here, we use a neural network-based computational mo...

RNAStabFormer: Region-Aware Multi-Task Hybrid Learning for RNA Stability Prediction from Pulse-Chase Transcriptomics

bioRxiv
RNA stability is a central layer of post-transcriptional gene regulation, yet large-scale stability labels derived from pulse-chase transcriptomics depend strongly on quantification region, time-window definition, and replicate quality control. We pr...

Systematic Evaluation of Feature Representations for Cancer-Associated sORF Prediction in Non-coding RNA

bioRxiv
Short open reading frames (sORFs) within non-coding RNAs (ncRNAs) have arisen as a hidden layer of gene regulation, encoding small peptides that represent a new class of cancer regulators with diagnostic and therapeutic potential. However, inferring ...

Generating antimicrobial peptides via genomic transfer learning

bioRxiv
We present a generative machine learning pipeline for the design of linear antimicrobial peptides (AMPs). To extend diversity beyond synthetically validated peptide datasets ($\sim$7,000 entries), we apply transfer learning by training a Generative P...

Deep Learning-Based Reconstruction: Model Comparison for Variable-Density GRAPPA 1H MRSI

bioRxiv
Proton magnetic resonance spectroscopic imaging (1H MRSI) enables quantitative mapping of brain metabolites, but its clinical use remains limited by long acquisition time. The goal of this work to improve the applicability of high-resolution 1H FID-M...

Simulation-based Bayesian deep learning enables uncertainty-aware tumor fraction estimation in cell-free DNA

bioRxiv
Background: Estimating tumor fraction from whole-genome cell-free DNA sequencing is critical for liquid biopsy, but is hampered by weak signals and baseline noise at low tumor fractions. Existing computational methods often require matched controls o...

Deep learning reveals the individual-level effects of artificial light at night on a wild insect

bioRxiv
Artificial light at night (ALAN) is a widespread anthropogenic phenomenon with varied physiological, behavioural, and ecosystem-level effects. Its impacts have been studied extensively at the population level, however less is known about the individu...