A parsimonious model explaining patterns in the Covid-19 event
A new efficient medoid based divisive hierarchical clustering method for large-scale data
Introducing TEC-LncMir for practical prediction of lncRNA-miRNA interactions through deep learning of RNA sequence data
Comprehensive prediction and analysis of human protein essentiality based on a pre-trained protein large language model
Cerebra: A Computationally Efficient Framework for Accurate Protein Structure Prediction
An aid diagnostic platform to detect the transition of mild cognitive impairment (MCI) to Alzheimer's disease (AD) based on 48,116 AD and MCI patients
StratoMod: Predicting sequencing and variant calling errors with interpretable machine learning
Discovering nuclear localization signal universe through a novel deep language learning network with attention as the neurons
Spatial variability and uncertainty for under-vaccination and zero-dose in fragile settings: A model-based study of immunization coverage in Chad
Integration of freeze-drying and Lugol-enhanced µCT imaging in virtual meniscus modelling for 3D printing and FE analysis