AIMC Journal:
bioRxiv

Showing 851 to 860 of 4938 articles

Determinants of Blood Group Antigen Expression and Prediction of Phenotypes by Machine Learning

bioRxiv
Blood group antigens, defined by epitopes on the erythrocyte surface, are central to transfusion safety and maternal-fetal compatibility. While the genetic basis of many clinically relevant blood group antigens is well established, which structural a...

ScaleSurfer: multi-scale anatomical segmentation and parcellation of the human brain

bioRxiv
Human brain magnetic resonance imaging (MRI) revolutionized our ability to non-invasively probe individual differences in neuroanatomy. These anatomical scans, in turn, also allow us to accurately localize functional MRI (fMRI) activity. However, ext...

Opioid- and NMDA-receptor-dependent neural plasticity mediates long-term analgesia from motor cortical stimulation

bioRxiv
Exogenous opioids that activate mu-opioid receptors (MORs) in nociceptive circuits mediate transient pain relief lasting minutes to hours but have more limited utility for treating chronic pain. By comparison, electrical or magnetic stimulation of th...

SupeRJump: Determining normal and leukemic differentiation fate through semi-supervised jump diffusion modeling

bioRxiv
Single cell RNA-seq (scRNA) has provided unprecedented resolution into cellular and clonal heterogeneity. Computational approaches have enabled recovery of differentiation dynamics, yet current approaches do not evaluate discontinuous differentiation...

AllTheBacteria: a community resource empowers biology and discovers novel peptide antibiotics

bioRxiv
Public microbial genomes encode an immense record of biological diversity, evolution and molecular function, but much of this information remains difficult to reuse because raw sequencing data are not uniformly assembled, quality controlled, annotate...

PLANET-MD: Ultra-fast Proteome-scale Prediction of Allosteric Networks in Proteins

bioRxiv
Proteins are dynamic molecules that depend on conformational flexibility to carry out functions in the cell, yet despite significant advances in the modeling of static protein structure, prediction of these dynamics remains challenging. We introduce ...

Identifying intervention strategies from machine learning models with COALA: a counterfactual optimization framework

bioRxiv
Motivation: Machine learning models in biomedicine have become increasingly complex, often functioning as black boxes. However, understanding contributors to disease and making actionable health interventions requires interpretable models. Common exp...

Proliferative and Motile Cell Interplay in Glioma Invasion: Go-or-Grow Switching Caps the Invasion Speed

bioRxiv
Diffuse gliomas are deadly because the individual tumor cells invade - they travel far from the imageable mass, so it is impossible to remove the tumor completely. On the cellular level, glioma cells seem to be in either a "go" state (in which they d...

Neural correlates of glioma progression using implanted neural interfaces

bioRxiv
High-grade glioma is an incurable brain cancer with a median survival of approximately 14 months. Over the last 50 years, small improvements in patient outcomes have been overshadowed by significant progress in most other cancers. Yet, emerging resea...

Cross-architecture ensembling of DNA foundation models improves the precision and stability of chimera detection in long-read metagenomic bins

bioRxiv
Motivation: Chimeric metagenome-assembled genomes (MAGs) that pool DNA from multiple organisms contaminate downstream analyses. Marker-gene tools such as CheckM2 miss low-level chimerism, and DNA foundation models have been proposed as a sequence-com...