AIMC Journal:
bioRxiv

Showing 741 to 750 of 4938 articles

CAR T cell foundation model predicts immunotherapy response

bioRxiv
Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signals into patient-level therapeutic response remains challenging. Existing studies primarily identify response-associated genes or cell populations thro...

CasanovoGUI: a cross-platform desktop application for deep learning-based de novo peptide sequencing with Casanovo

bioRxiv
De novo peptide sequencing detects peptides directly from tandem mass spectra without a protein sequence database, and deep learning has substantially advanced its performance. Casanovo, one such widely used model, is distributed as a Python command-...

Shifu: an integrated framework for deep learning of RNA secondary structure

bioRxiv
Deep learning has advanced RNA secondary-structure prediction by bypassing explicit energy rules to capture long-range dependencies, yet progress is limited less by model scale than by how structures are measured: single scores hide where and why mod...

Reproducible-by-design: Romics Processor, a FAIR ecosystem for multi-omics and spatial-omics analysis

bioRxiv
Multi-omics and spatial-omics technologies are exploding in use, producing increasingly complex datasets. Existing bioinformatics tools are developing rapidly but fail to fully enforce the FAIR principles, leaving the field vulnerable to escalating i...

Introducing PHJ Media: A Unique Machine Learning -Driven Basal Formulation to Overcome Recalcitrance for Multi-Genotype Micropropagation of Cannabis sativa L.

bioRxiv
Applications of tissue culture are critical for Cannabis sativa L. (cannabis), supporting clonal propagation, germplasm preservation, pathogen elimination, among other biotechnological applications. However, extensive genetic diversity associated wit...

Detecting Sleep Deprivation from Running Biomechanics Using Machine Learning Classification: A Comparison Between Wearable and Laboratory Motion Capture

bioRxiv
Sleep deprivation is associated with impaired endurance performance and an increased risk of running-related injury. Previous research has identified alterations in running biomechanics following a single night of sleep deprivation under laboratory c...

A geometric and dynamical theory of latent computations in biological neural networks

bioRxiv
Many neural recordings have revealed low-dimensional sets of behaviorally relevant variables encoded within large-scale neural activity patterns. However, dimensionality reduction analyses alone cannot yield causal explanations for how networks stabl...

Low-latency neuromorphic closed-loop control of hippocampal ripples in vivo

bioRxiv
Real-time closed-loop neuromodulation, in which stimulation is precisely timed to ongoing brain dynamics, holds transformative potential for treating neurological disorders and probing neural circuit function. However, it requires low-latency, energy...

A Deep Learning Framework for Biomarker Segmentation and Classification in Traumatic Brain Injury

bioRxiv
Traumatic brain injury (TBI) triggers widespread biomarker activation, including astrocytic markers such as glial fibrillary acidic protein (GFAP) and microglia markers such as ionized calcium-binding adapter molecule 1 (IBA1). Quantifying and analyz...

Transcriptomic data and biomedical literature synergize in finding pharmacologic gene regulators

bioRxiv
Most disorders caused by a deficiency or excess of one gene product lack targeted therapies. Since these disorders can be modeled with a gene overexpression, knockout, or knockdown, drugs that oppose the transcriptomic effects of such perturbations m...