Buchumschlag

Assessing Concordance between RNA-Seq and NanoString Technologies in Ebola-Infected Nonhuman Primates Using Machine Learning

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Rezapour, Mostafa, Narayanan, Aarthi, Mowery, Wyatt H., Gurcan, Metin Nafi
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Genomics Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Machine Learning-Based Analysis of Ebola Virus' Impact on Gene Expression in Nonhuman Primates
von: Rezapour, Mostafa, et al.
Veröffentlicht: (2024)

Tool Choice Matters: Evaluating edgeR vs. DESeq2 for Sensitivity, Robustness, and Cross-Study Performance
von: Rezapour, Mostafa
Veröffentlicht: (2026)

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data
von: Toledo, Maria De La Luz Lomboy, et al.
Veröffentlicht: (2026)

Robust Clustering Analysis of Genes Related to Age-related Macular Degeneration using RNA-Seq
von: Gutierrez, Brayan, et al.
Veröffentlicht: (2026)

Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets
von: Dradjat, Kevin, et al.
Veröffentlicht: (2026)

Data Smoothing Filling Method based on ScRNA-Seq Data Zero-Value Identification
von: Jiang, Linfeng, et al.
Veröffentlicht: (2024)

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective
von: Xiao, Meng, et al.
Veröffentlicht: (2025)

SeqMate: A Novel Large Language Model Pipeline for Automating RNA Sequencing
von: Mondal, Devam, et al.
Veröffentlicht: (2024)

Just-DNA-Seq, open-source personal genomics platform: longevity science for everyone
von: Anton, Kulaga, et al.
Veröffentlicht: (2024)

xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
von: Gong, Jing, et al.
Veröffentlicht: (2023)

A Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell RNA-Seq Data
von: Ahn, Seungjun, et al.
Veröffentlicht: (2025)

Partial domain adaptation enables cross domain cell type annotation between scRNA-seq and snRNA-seq
von: Chen, Xiran, et al.
Veröffentlicht: (2025)

SeqManager: A Web-Based Tool for Efficient Sequencing Data Storage Management and Duplicate Detection
von: Celerie, Margot, et al.
Veröffentlicht: (2025)

A Novel cVAE-Augmented Deep Learning Framework for Pan-Cancer RNA-Seq Classification
von: Polepalli, Vinil
Veröffentlicht: (2025)

PyamilySeq: A Python Tool for Interpretable Gene (Re)Clustering and Pangenomic Inference Across Species and Genera
von: Dimonaco, Nicholas J.
Veröffentlicht: (2024)

HybridQC: Machine Learning-Augmented Quality Control for Single-Cell RNA-seq Data
von: Lai, Kaitao
Veröffentlicht: (2025)

The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology
von: Gill, Erin E., et al.
Veröffentlicht: (2024)

scVGAE: A Novel Approach using ZINB-Based Variational Graph Autoencoder for Single-Cell RNA-Seq Imputation
von: Inoue, Yoshitaka
Veröffentlicht: (2024)

Predicting Breast Cancer Phenotypes from Single-cell RNA-seq Data Using CloudPred
von: Moghimianavval, Hossein, et al.
Veröffentlicht: (2024)

Bayesian Forensic DNA Mixture Deconvolution Using a Novel String Similarity Measure
von: Petty, Taylor, et al.
Veröffentlicht: (2025)

Retraction: Concordance and characterization of massively parallel sequencing at 58 STRs in a Tibetan population
Veröffentlicht: (2024)

RNAMunin: A Deep Machine Learning Model for Non-coding RNA Discovery
von: Lui, Lauren, et al.
Veröffentlicht: (2025)

SiCmiR Atlas: Single-Cell miRNA Landscapes Reveals Hub-miRNA and Network Signatures in Human Cancers
von: Cai, Xiao-Xuan, et al.
Veröffentlicht: (2025)

Timestamp calibration for time-series single cell RNA-seq expression data
von: Chen, Xiran, et al.
Veröffentlicht: (2024)

A Graphical Method for Identifying Gene Clusters from RNA Sequencing Data
von: Patock, Jake R., et al.
Veröffentlicht: (2025)

scX: A user-friendly tool for scRNA-seq exploration
von: Waichman, Tomás Vega, et al.
Veröffentlicht: (2023)

Metabolic Status and Expression Level of SREBP mRNA and Mir‐33 Among Children Conceived by Assisted Reproductive Technology
von: Yifan Cui, et al.
Veröffentlicht: (2025)

Mix-Geneformer: Unified Representation Learning for Human and Mouse scRNA-seq Data
von: Nishio, Yuki, et al.
Veröffentlicht: (2025)

Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis
von: Siwach, Ashwani, et al.
Veröffentlicht: (2026)

Gene and RNA Editing: Methods, Enabling Technologies, Applications, and Future Directions
von: Aledhari, Mohammed, et al.
Veröffentlicht: (2024)

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

An improved, high yield method for isolating nuclei from individual zebrafish embryos for single-nucleus RNA sequencing
von: Rostomily, Clifford, et al.
Veröffentlicht: (2024)

Categorization and analysis of 14 computational methods for estimating cell potency from single-cell RNA-seq data
von: Wang, Qingyang, et al.
Veröffentlicht: (2023)

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

Machine Learning Integration of Multiomics Data Reveals RNA Modification–Driven Inflammation–Immune Interplay and Predicts Immunotherapy Response in Cervical Cancer
von: Pengyan Zhang, et al.
Veröffentlicht: (2026)

Helix-mRNA: A Hybrid Foundation Model For Full Sequence mRNA Therapeutics
von: Wood, Matthew, et al.
Veröffentlicht: (2025)

Nano Bio-Agents (NBA): Small Language Model Agents for Genomics
von: Hong, George, et al.
Veröffentlicht: (2025)

Enhancing Cardiovascular Disease Risk Prediction with Machine Learning Models
von: Shishehbori, Farnoush, et al.
Veröffentlicht: (2024)

Transcriptome assemblies for two drug‐type cannabis chemotypes by long‐read RNA sequencing
von: Oliver Berkowitz, et al.
Veröffentlicht: (2026)

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