AIMC Journal:
bioRxiv

Showing 1531 to 1540 of 4956 articles

End-to-end mapping of membrane transport from chemical structure to microorganisms

bioRxiv
Membrane transport is a fundamental biological process with profound implications for pharmacology, biotechnology, and microbiology. While computational approaches have largely adopted a protein-centric perspective to annotate transportomes, inferrin...

Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites

bioRxiv
Motivation: DNA motifs recognised by transcription factors are typically represented as position weight matrices (PWMs), assuming independent contributions of individual nucleotides to protein binding specificity. Many alternative models accounting f...

Explainable prediction and simulation of complex system dynamics through networks of manifolds

bioRxiv
Complex systems such as brains and other interacting biological and physical processes are difficult to represent because they evolve across many variables, scales, and nonlinear interactions. To capture these multivariate, multiscale interactions we...

Pathway-Centric Integration of CRISPR Fitness with Molecular Features Draws Cancer State Maps

bioRxiv
Cancer cells display heterogeneous pathway activity that shapes therapeutic vulnerability, but mapping it remains challenging. Transcriptomic scores do not directly measure functional activity, and CRISPR knockout data alone lack molecular interpreta...

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung

bioRxiv
Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatment of patients with pneumonia lag behind other major conditions, relying on syndromic definitions that lack molecular resolution and ignore underlying...

STEM-LM: Spatio-Temporal Ecological Modeling via Masked Language Model for Joint Species Distribution

bioRxiv
Joint species distribution models (JSDMs) are central to biodiversity forecasting and conservation decision-making. As ecological datasets grow in size, dimensionality, and spatio-temporal resolution, there is a need for flexible yet scalable JSDMs t...

A multi-omic, spatial, and whole-slide image dataset of lung neuroendocrine tumours from the lungNENomics cohort

bioRxiv
Lung neuroendocrine tumours (lung NETs) are rare neoplasms comprising approximately 2% of lung cancers. Recent studies have identified distinct molecular groups based on transcriptome and methylome data, but genomic and morphological features remain ...

A biologically-grounded cerebellar spiking network model with realistic synaptic transmission captures complex circuit dynamics.

bioRxiv
Cerebellar neural circuit dynamics rely on a rich repertoire of synaptic and excitability mechanisms, which are thought to determine network computation in physiological and pathological conditions. In this work, we develop and validate a biologicall...

Plasmatic immune extracellular vesicle profiles identify prodromal and early stages of Parkinson's disease

bioRxiv
Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative proteinopathies, but disease- and stage-specific profiles remain unclear. For this study, we enrolled 378 participants across five centers and the MJFF-B...

Segmentation and profile-based classification of movement strategies from animal tracking data

bioRxiv
1. Classifying animal movement strategies from GPS tracking data is essential for understanding space use, population dynamics and conservation planning. However, existing approaches either require strong parametric assumptions about trajectory shape...