Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

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Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

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We perform a large-scale RNA sequencing study to experimentally identify genes that are downregulated by 25 miRNAs. This RNA-seq dataset is combined with public miRNA target binding data to systematically identify miRNA targeting features that are characteristic of both miRNA binding and target downregulation. |

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Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

Sequence-based prediction of physicochemical interactions at protein functional sites using a function-andinteraction-annotated domain profile database

In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression

Developing a risk prediction model for the functional outcome after hip arthroscopy

The validity of spinal mobility for prediction of functional disability in male patients with low back pain

Combining multiple functional annotation tools increases coverage of metabolic annotation

MiRFA: An automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer

FunFam protein families improve residue level molecular function prediction

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

WhoGEM: An admixture-based prediction machine accurately predicts quantitative functional traits in plants

PINES: Phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

Đang chuẩn bị liên kết để tải về tài liệu: Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

Sequence-based prediction of physicochemical interactions at protein functional sites using a function-andinteraction-annotated domain profile database

In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression

Developing a risk prediction model for the functional outcome after hip arthroscopy

The validity of spinal mobility for prediction of functional disability in male patients with low back pain

Combining multiple functional annotation tools increases coverage of metabolic annotation

MiRFA: An automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer

FunFam protein families improve residue level molecular function prediction

The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

WhoGEM: An admixture-based prediction machine accurately predicts quantitative functional traits in plants

PINES: Phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data