AIMC Journal:
bioRxiv

Showing 1521 to 1530 of 4956 articles

CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data

bioRxiv
Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range of human diseases. Accurate detection of CNVs from whole-exome sequencing (WES) data has been a long-sought goal for clinical and population genetic s...

Deciphering conformational preferences of RNA in protein-RNA recognition

bioRxiv
Conformational plasticity of RNAs plays important roles in recognizing RNA-binding proteins, and is often modulated by their binding partners. Here, we investigate RNA conformational preferences in a non-redundant dataset of 263 protein-RNA complexes...

Word meaning, not surface statistics, is essential for predictive language processing

bioRxiv
Humans comprehend language incrementally, updating the representation of sentence meaning with each incoming word. These updates are guided by the distance between each perceived word and prior expectations--the prediction error. The alignment betwee...

LOCOPOTS: a low-cost high-throughput screening platform for in vitro potato phenotyping under abiotic stress

bioRxiv
Potato crop is highly vulnerable to abiotic stresses like salinity and low nutrient availability. Rapid identification of stress-resilient genotypes is therefore essential for breeding, yet conventional phenotyping is often slow, space-demanding and ...

BiomniBench: Process-level Evaluation of LLM Agents for Real-world Biomedical Research

bioRxiv
LLM agents now perform real biomedical research, but evaluating them rigorously is hard. Outcome-only benchmarks fail in two ways. First, a correct final answer can come from memorization, reward hacking, or wrong reasoning that produces the right nu...

Integration of immunomonitoring assays with PET/CT in TB patients identifies on-treatment biomarkers

bioRxiv
Tuberculosis (TB) continues to pose a significant global public health challenge with substantial morbidity and mortality. Current TB biomarkers lack sufficient resolution to inform treatment response and patient stratification. We previously demonst...

Fiber dispersion in the right ventricle: A comparison of constitutive neural network predictions with experimental data

bioRxiv
The mechanical behavior of right ventricular (RV) myocardium is governed by its anisotropic microstructure, yet constitutive models that account for fiber dispersion and enable reliable parameter identification remain limited. In this study, we propo...

Anatomy-Guided 3D Graph Networks for Couinaud Segmentation in Tumor Affected Livers

bioRxiv
Abstract: Image-based liver Couinaud segmentation is designed to automatically provide the locations of suspicious objects in liver CT/MR images. Once achieved, the physicians will be guided to the target slice and area where the suspicious node is l...

PXN Unlocks the Power of Public Gene Expression Data Through Cross-Technology Integration

bioRxiv
The immense value of public gene expression repositories is constrained by the lack of compatibility among datasets generated from diverse experimental technologies. Differences in measurement scales, probe chemistries, and signal distributions creat...

Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization

bioRxiv
Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most computational approaches fail to model noncoding genetic variation. Because over 90% of genome-wide association study (GWAS) risk variants reside in nonco...