Prediction of disease‐associated functional variants in noncoding regions through a comprehensive analysis by integrating datasets and features-Reference-Cited by-同舟云学术

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Prediction of disease‐associated functional variants in noncoding regions through a comprehensive analysis by integrating datasets and features

Published:2021-04-23 Issue:6 Volume:42 Page:667-684
ISSN:1059-7794
Container-title:Human Mutation
language:en
Short-container-title:Human Mutation

Author:

Lu Yu¹^ORCID,Wu Yiming²^ORCID,Liu Yuan¹^ORCID,Li Yizhou¹^ORCID,Jing Runyu³^ORCID,Li Menglong¹^ORCID

Affiliation:

1. College of Chemistry Sichuan University Chengdu Sichuan China

2. Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai New York New York USA

3. College of Cybersecurity Sichuan University Chengdu Sichuan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Genetics (clinical),Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/humu.24203

Reference65 articles.

1. An atlas of active enhancers across human cell types and tissues

2. A global reference for human genetic variation

3. Identification of transcription factor binding sites from ChIP-seq data at high resolution

4. Regulation of eukaryotic gene expression by the untranslated gene regions and other non-coding elements

5. High-Resolution Profiling of Histone Methylations in the Human Genome

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1. Assessing parameter efficient methods for pre-trained language model in annotating scRNA-seq data;Methods;2024-08

2. Predicting functional UTR variants by integrating region-specific features;Briefings in Bioinformatics;2024-05-23

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