bioRxiv

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Robust prediction of drug combination side effects in realistic settings

bioRxiv Jan 1, 2025
Side effects caused by drug combinations pose a major challenge in healthcare. Knowledge of these side effects is limited because often they are not detected in clinical trials, which typically involve a restricted number of participants and tested d...
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Effects of Spearman’s and Pearson’s correlations on construction of cancer regulatory networks and biomarker selection

bioRxiv Jan 1, 2025
Correlation methods play an important role in machine learning. They apply as a similarity or distance measure in machine learning models such as recommender systems, clustering methods, and distance-based algorithms such as KNN, leading to more accu...
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Hybrid Deep Learning and Lee-Carter Model for Mortality Forecasting: A Study of US Adults Aged 35-80

bioRxiv Jan 1, 2025
This study introduces a hybrid approach that enhances mortality forecasts by integrating machine learning techniques specifically Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Neural Networks (NN) with the traditional Lee-Carter mod...
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SONIC: A Benchmarking Paradigm for Brain-Computer Interfaces

bioRxiv Jan 1, 2025
Brain-computer interfaces (BCIs) can restore function for individuals with neuro-logical disorders and have the potential to transform the way people interact with digital systems. However, the development of advanced BCI applications, such as fluent...
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A Systematic Fairness Evaluation of Racial Bias in Alzheimer’s Disease Diagnosis Using Machine Learning Models

bioRxiv Jan 1, 2025
Alzheimer’s disease (AD) is a major global health concern, expected to affect 12.7 million Americans by 2050. Machine learning (ML) algorithms have been developed for AD diagnosis and progression prediction, but the lack of racial diversity in clinic...
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Hierarchical Optimization predicts Plasticity in the Macaque Inferior Temporal Cortex following Object Training

bioRxiv Jan 1, 2025
How does the primate brain coordinate plasticity when learning to discriminate new objects? We measured consequences of object learning on macaque inferior temporal (IT) cortex, a key waypoint supporting object recognition in the ventral visual strea...
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Adaptive transcriptional strategies underpin the host-specific virulence of the generalist oomycete Phytophthora capsici during early crown infection

bioRxiv Jan 1, 2025
Phytophthora capsici is a destructive, broad-host-range oomycete responsible for substantial losses in global agriculture. While most transcriptomic studies have focused on host responses, the mechanisms by which generalist pathogens dynamically adap...
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SmartHisto: Bayesian Active Learning for Histology Images

bioRxiv Jan 1, 2025
Accurate and efficient characterization of biological images is crucial for advancing systems biology and medical research. Recent advancements in deep learning and image processing have enabled neural network models to rapidly accelerate image analy...
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Motor cortex somatostatin interneurons adaptively shape the structure of action sequences

bioRxiv Jan 1, 2025
The brain can flexibly reorganize the structure of action sequence, or motor programs, to efficiently reach positive outcomes. These behavioral adaptations are primarily driven by reinforcement learning, leading to structural and kinematic modificati...
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Advancing FAIR Data Management through AI-Assisted Curation of Morphological Data Matrices

bioRxiv Jan 1, 2025
Curation of biological and paleontological datasets is a labor-intensive process that requires standardization and validation to ensure data integrity. In particular, manual curation of datasets is prone to human errors such as typographical errors, ...
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