.- A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis.
.- Resistance genes are distinct in protein-protein interaction networks according to drug class and gene mobility.
.- DuoHash: fast hashing of spaced seeds with application to spaced k-mers counting.
.- Unsupervised Learning for Tertiary Structure Prediction of Protein Molecules: Systematic Review.
.- Fast and Succinct Compression of k-mer Sets with Plain Text Representation of Colored de Bruijn Graphs.
.- Enhancing Protein Side Chain Packing Using Rotamer Clustering and Machine Learning.
.- Can Language Models Reason about ICD Codes to Guide the Generation of Clinical Notes?.
.- Link Prediction in Disease-Disease Interactions Network Using a Hybrid Deep Learning Model.
.- Model Selection for Sparse Microbial Network Inference using Variational Approximation.
.- Haplotype-based Parallel PBWT for Biobank Scale Data.
.- Mammo-Bench: A Large-scale Benchmark Dataset of Mammography Images.
.- MetaEdit: Computational Identification of RNA editing in Microbiomes.
.- Drug-centric prior improves drug response modeling in partially overlapping pharmacogenomic screens.
.- Improving inter-helical residue contact prediction in a-helical Transmembrane proteins using structural neighborhood crowdedness information.
.- Explaining Protein Folding Networks Using Integrated Gradients and Attention Mechanisms.
.- The evolution of cancer progression risk: a phylogenetic and machine learning analysis.
.- Cancer Diseases Classification with Sparse Neural Networks: An Information-Theoretic Approach.
.- Epistatic Density of Viral Variants in Acute and Chronic HCV patients.
.- Applying Genetic Algorithm with Saltations to MAX-3SAT.
.- Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm.
.- Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based CT Scan Analysis.
.- Improved Graph-Based Antibody-Aware Epitope Prediction with Protein Language Model-Based Embeddings.
.- Leveraging RNA LLMs for 3D Structure Prediction via Novel Data Augmentation.
.- EfficientNet in Digital Twin-based Cardiac Arrest Prediction and Analysis.
.- AmpliconHunter: A Scalable Tool for Accurate Amplicon Prediction from Microbiome Samples using Degenerate Primers.
.- Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences.
