bioRxiv

Showing 3481 to 3490 of 5001 articles

DeepVul: A Multi-Task Transformer Model for Joint Prediction of Gene Essentiality and Drug Response

bioRxiv
Despite their potential, current precision oncology approaches benefit only a small fraction of patients due to their limited focus on actionable genomic alterations. To expand its applicability, we propose DeepVul, a multi-task transformer-based mod...

Human-like individual differences emerge from random weight initializations in neural networks

bioRxiv
Much of AI research targets the behavior of an average human, a focus that traces to Turing’s imitation game. Yet, no two human individuals behave exactly alike. In this study, we show that artificial neural networks (ANNs) trained with different ran...

Synaptic histamine shapes the neurocomputational dynamics of human learning

bioRxiv
Histamine was the first canonical monoamine identified in the mammalian brain 1–6, yet arguably remains the least understood in its mechanistic contributions to human behaviour. Using a first-in-class causal probe (H3R inverse agonist pitolisant), we...

Integrative Chemical Genetics Platform Identifies Condensate Modulators Linked to Neurological Disorders

bioRxiv
Aberrant biomolecular condensates are implicated in multiple incurable neurological disorders, including Amyotrophic Lateral Sclerosis, Frontotemporal Dementia, and DYT1 dystonia. However, the role of condensates in driving disease etiology remains i...

DANCE: An open-source analysis pipeline and low-cost hardware to quantify aggression and courtship in Drosophila

bioRxiv
Quantifying animal behavior is pivotal for identifying the underlying neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in Drosophila. However, exi...

FFixR: A Machine Learning Framework for Accurate Somatic Mutation Calling from FFPE RNA-Seq Data in Cancer

bioRxiv
Formalin-fixed paraffin-embedded (FFPE) tissues are widely used in clinical and research settings, yet their use for detecting somatic mutations from RNA sequencing (RNA-seq) is hindered by artefactual mutations introduced by cytosine deamination and...

Machine Learning-assisted Raman Spectral Analysis of Serotonin-responsive ssDNA-SWCNT Nanosensor for Improved Selectivity against Dopamine

bioRxiv
Serotonin (5-hydroxytryptamine, 5-HT) plays critical roles in neuromodulation, yet current detection methods struggle for real-time sensing of 5HT with high sensitivity and selectivity. We previously developed nIRHT (near-infrared serotonin nanosenso...

Bibliometric Insights into Medical Data Science Applications in Genomics: Evidence from Kaggle and Dimensions Datasets

bioRxiv
While bibliometrics is widely used to map scientific fields, few studies have integrated non-traditional sources like competitive data science platforms to analyze the gap between theory and practice. This study addresses this methodological gap by d...

PathQC: Determining Molecular and Physical Integrity of Tissues from Histopathological Slides

bioRxiv
Quantifying tissue molecular and physical integrity is essential for biobank development. However, current assessment methods either involve destructive testing that depletes valuable biospecimens or rely on manual evaluations, which are not scalable...

Distinct contributions of memorability and object recognition to the representational goals of the macaque inferior temporal cortex

bioRxiv
The primate inferior temporal (IT) cortex, at the apex of the ventral visual stream, encodes information that supports diverse representational goals—from recognizing objects to determining which images are likely to be remembered. Specific artificia...