Imagen de Portada

PhageMind: Generalized Strain-level Phage Host Range Prediction via Meta-learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shen, Yang, Shi, Keming, Yu, Chen, Zhang, Rui, Sun, Yanni, Shang, Jiayu
Formato:	Preprint
Publicado:	2026
Materias:	Genomics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ViralQC: A Tool for Assessing Completeness and Contamination of Predicted Viral Contigs
por: Peng, Cheng, et al.
Publicado: (2025)

TPMM: Three-component Posterior Mixture Model Enables Robust Inverton Detection in Low-Depth Metagenomes and Suggests Potential Viral Invertons
por: Lu, Yi, et al.
Publicado: (2026)

PhageBench: Can LLMs Understand Raw Bacteriophage Genomes?
por: Hou, Yusen, et al.
Publicado: (2026)

GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree search
por: Qu, Fuchuan, et al.
Publicado: (2025)

Isolation and Characterization of a Lytic Phage PaTJ Against .
por: Gu, Jiayu, et al.
Publicado: (2024)

Accurate and efficient protein embedding using multi-teacher distillation learning
por: Shang, Jiayu, et al.
Publicado: (2024)

Infection and Genomic Properties of Single- and Double-Stranded DNA Phages.
por: Howard-Varona, Cristina, et al.
Publicado: (2025)

SeekRBP: Leveraging Sequence-Structure Integration with Reinforcement Learning for Receptor-Binding Protein Identification
por: Luo, Xiling, et al.
Publicado: (2026)

Computational approaches for virus host prediction: A review of methods and applications
por: Shang, Jiayu, et al.
Publicado: (2025)

A Chromosome-level Assembly and Functional Genomic Resources for the Model Annelid Capitella teleta.
por: Davies, Billie E, et al.
Publicado: (2026)

NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations
por: Ding, Ke, et al.
Publicado: (2025)

Predicting cell-specific gene expression profile and knockout impact through deep learning
por: He, Yongjian, et al.
Publicado: (2025)

Mind the Gap No More: Achieving Zero-Gap Multimodal Integration via One Tokenizer
por: Li, Yanan, et al.
Publicado: (2026)

Complete Genome Sequence Analysis of Bacillus subtilis MC4-2 Strain That against Tobacco Black Shank Disease
por: Chunlan Shi, et al.
Publicado: (2024)

Learnable Group Transform: Enhancing Genotype-to-Phenotype Prediction for Rice Breeding with Small, Structured Datasets
por: Dong, Yunxuan, et al.
Publicado: (2025)

DNAMotifTokenizer: Towards Biologically Informed Tokenization of Genomic Sequences
por: Zhou, Xiaoxiao, et al.
Publicado: (2025)

Genotype-to-Phenotype Prediction in Rice with High-Dimensional Nonlinear Features
por: Zhou, Zeyuan, et al.
Publicado: (2025)

Improving spliced alignment by modeling splice sites with deep learning
por: Yang, Siying, et al.
Publicado: (2025)

Range-Limited Heaps' Law for Functional DNA Words in the Human Genome
por: Li, Wentian, et al.
Publicado: (2024)

A genome-scale deep learning model to predict gene expression changes of genetic perturbations from multiplex biological networks
por: Zhan, Lingmin, et al.
Publicado: (2024)

Chromosome-level genome provides novel insights into the starch metabolism regulation and evolutionary history of Tetraselmis helgolandica.
por: Zhou, Zuodong, et al.
Publicado: (2026)

Application of Single-cell Deep Learning in Elucidating the Mapping Relationship Between Visceral and Body Surface Inflammatory Patterns
por: Huang, Haixiang, et al.
Publicado: (2025)

ECLIPSE: A Composable Pipeline for Predicting ecDNA Formation, Evolution, and Therapeutic Vulnerabilities in Cancer
por: Cheng, Bryan, et al.
Publicado: (2026)

The Genomics Revolution in Nonmodel Species: Predictions vs. Reality for Salmonids.
por: May, Samuel A, et al.
Publicado: (2025)

MetaHQ: Harmonized, high-quality metadata annotations of public omics samples and studies
por: Hicks, Parker, et al.
Publicado: (2026)

Reliable Inference of Phylogenomic Relationship via Assembly-Based Strategy Accommodating Raw Reads and Proteins.
por: Li, Yunlong, et al.
Publicado: (2026)

QHap: Quantum-Inspired Haplotype Phasing
por: Zhang, Rui, et al.
Publicado: (2026)

Interpretable machine learning for stability and electronic structure prediction of Janus III–VI van der Waals heterostructures
por: Yudong Shi, et al.
Publicado: (2024)

Interpretable deep learning in single-cell omics
por: Wagle, Manoj M, et al.
Publicado: (2024)

Accelerating spin Hall conductivity predictions via machine learning
por: Jinbin Zhao, et al.
Publicado: (2024)

GP-DHT: A Dual-Head Transformer with Contras-tive Learning for Predicting Gene Regulatory Rela-tionships across Species from Single-Cell Data
por: Yan, Shuai, et al.
Publicado: (2026)

Classification of SARS-CoV-2 Variants through The Epistatical Circos Plots with Convolutional Neural Networks
por: Jing, Bo, et al.
Publicado: (2026)

Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
por: Su, Jiayu, et al.
Publicado: (2024)

A Neurotrophic Factor–Related Gene Signature Predicts Prognosis and Immunotherapy Response in Colorectal Cancer
por: Xu-Yang Zuo, et al.
Publicado: (2026)

Meta-analysis of scRNA-seq data for choroidal endothelial cells in dry Age-related Macular Degeneration
por: Veksler, Kyle M., et al.
Publicado: (2026)

Identifying genes associated with phenotypes using machine and deep learning
por: Muneeb, Muhammad, et al.
Publicado: (2026)

GenVarFormer: Predicting gene expression from long-range mutations in cancer
por: Laub, David, et al.
Publicado: (2025)

DuAL-Net: A Hybrid Framework for Alzheimer's Disease Prediction from Whole-Genome Sequencing via Local SNP Windows and Global Annotations
por: Lee, Eun Hye, et al.
Publicado: (2025)

Integrated chloroplast genomics and whole‐genome resequencing reveals demographic history and selection signatures of black walnuts
por: Hang Ye, et al.
Publicado: (2025)

EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations
por: Lin, Zekai, et al.
Publicado: (2025)