A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Gene Expression Profiling

BMC Genomics - United Kingdom
doi 10.1186/1471-2164-11-s3-s12
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Prediction of Desmoid Tumor Progression Using miRNA Expression Profiling

Cancer Science
Cancer ResearchMedicineOncology
2015English

A Gene Sets Approach for Identifying Prognostic Gene Signatures for Outcome Prediction

BMC Genomics
BiotechnologyGenetics
2008English

Prediction of High Risk Ewing's Sarcoma by Gene Expression Profiling

Oncogene
Cancer ResearchGeneticsMolecular Biology
2004English

A Machine Learning Approach for miRNA Target Prediction

2008English

Gene Expression Profiling of Blood for the Prediction of Ischemic Stroke

Stroke
CardiologyNeurologyCardiovascular MedicineAdvancedMedicineNeuroscienceSpecialized Nursing
2010English

Integrated miRNA and mRNA Expression Profiling to Identify mRNA Targets of Dysregulated miRNAs in Pulmonary Tuberculosis

Epigenomics
Cancer ResearchGenetics
2018English

miTAR: A Hybrid Deep Learning-Based Approach for Predicting miRNA Targets

2020English

A Biochemical Approach to Identifying microRNA Targets

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2007English

Quantifying Evidence for Candidate Gene Polymorphisms: Bayesian Analysis Combining Sequence-Specific and Quantitative Trait Loci Colocation Information

Genetics
Genetics
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy