Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences
Efficient Sequence Embedding For SARS-CoV-2 Variants Classification
On Computing the Jaro Similarity Between Two Strings
Identifying miRNA-disease Associations based on Simple Graph Convolution with DropMessage and Jumping Knowledge
Reconciling Inconsistent Molecular Structures from Biochemical Databases
Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops
Neurogenesis-associated Protein, a Potential Prognostic Biomarker in anti-PD-1 based kidney renal clear cell carcinoma patients therapeutics
MPFNet: ECG Arrhythmias Classication Based on Multi-Perspective Feature Fusion
PCPI: Prediction of circRNA and protein interaction using machine learning method
Radiology Report Generation via Visual Recalibration and Context Gating-aware
Using Generating Functions to Prove Additivity of Gene-Neighborhood Based Phylogenetics
TCSA: A Text-guided Cross-view Medical Semantic Alignment Framework for Adaptive Multi-view Visual Representation Learning
Multi-Class Cancer Classification of Whole Slide Images through Transformer and Multiple Instance Learning
ricME: long-read based mobile element variant detection using sequence realignment and identity calculation
scGASI: A graph autoencoder-based single-cell integration clustering method
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection
USTAR: Improved Compression of k-mer Sets with Counters Using De Bruijn Graphs
Graph-Based Motif Discovery in Mimotope Profiles of Serum Antibody Repertoire
Sequence-Based Nanobody-Antigen Binding Prediction
Approximating Rearrangement Distances with Replicas and Flexible Intergenic Regions
The Ordered Covering Problem in Distance Geometry
Phylogenetic Information as Soft Constraints in RNA Secondary Structure Prediction
NeoMS: Identification of Novel MHC-I Peptides with Tandem Mass Spectrometry
On Sorting by Flanked Transpositions
Integrative analysis of gene expression and alternative polyadenylation from single-cell RNA-seq data
SaID: Simulation-aware Image Denoising Pre-trained Model for Cryo-EM Micrographs
Reducing the impact of domain rearrangement on sequence alignment and phylogeny reconstruction
Identification and functional annotation of circRNAs in neuroblastoma based on bioinformatics
SGMDD: Subgraph Neural Network-Based Model for Analyzing Functional Connectivity Signatures of Major Depressive Disorder
PDB2Vec: Using 3D Structural Information For Improved Protein Analysi
Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification
DCNN: Dual-Level Collaborative Neural Network for Imbalanced Heart Anomaly Detection
On the Realisability of Chemical Pathways
A Brief Study of Gene Co-Expression Thresholding Algorithms
Inferring Boolean Networks from Single-Cell Human Embryo Datasets
Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection
Genetic Algorithm with Evolutionary Jumps
HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data
Clique-based topological characterization of chromatin interaction hubs
Exploring Racial Disparities in Triple-Negative Breast Cancer: Insights from Feature Selection Algorithms
Deep Learning Reveals Biological Basis of Racial Disparities in Quadruple-Negative Breast Cancer
CSA-MEM: Enhancing Circular DNA Multiple Alignment through Text Indexing Algorithms
A Convolutional Denoising Autoencoder for Protein Scaffold Filling
Simulating tumor evolution from scDNA-seq as an accumulation of both SNVs and CNAs
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-cell Type Identification.-.