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Sequence-Based Nanobody-Antigen Binding Prediction
We curated a comprehensive dataset of Nanobody-Antigen binding and nonbinding data and devised an embedding method based on gapped k-mers to predict binding based only on sequences of nanobody and antigen.
Robust Brain Age Estimation via Regression Models and MRI-derived Features
The proposed BAE framework provides a new approach for estimating brain age, which has important implications for the understanding of neurological disorders and age-related brain changes.
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences
Kernel-based methods, e. g., SVM, are a proven efficient and useful alternative for several machine learning (ML) tasks such as sequence classification.
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