Weiling Xie

发表

Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles.

P. Debata, Xin Ma, K. Severinov, 2019, Carcinogenesis.

In vitro and in vivo growth inhibition of human cervical cancer cells via human papillomavirus E6/E7 mRNAs' cleavage by CRISPR/Cas13a system.

P. Debata, Xin Ma, K. Severinov, 2020, Antiviral research.

Non-homologous dsODN increases the mutagenic effects of CRISPR-Cas9 to disrupt oncogene E7 in HPV positive cells

P. Debata, K. Severinov, B. Das, 2021, Cancer Gene Therapy.

DeepEBV: a deep learning model to predict Epstein-Barr virus (EBV) integration sites

Zheng Hu, Jiuxing Liang, Bin Lang, 2021, Bioinform..

An effective vaginal gel to deliver CRISPR/Cas9 system encapsulated in poly (β-amino ester) nanoparticles for vaginal gene therapy

P. Debata, Xin Ma, K. Severinov, 2020, EBioMedicine.

DeepHPV: a deep learning model to predict human papillomavirus integration sites

Rui Tian, Wei Xu, Zheng Hu, 2020, Briefings Bioinform..

The comparison of ZFNs, TALENs, and SpCas9 by GUIDE-seq in HPV-targeted gene therapy

P. Debata, K. Severinov, B. Das, 2021, Molecular Therapy. Nucleic Acids.

Interleukin-10 polymorphisms and nasopharyngeal carcinoma risk: a meta-analysis.

L. Tang, Q. Ou, Weiling Xie, 2015, Genetics and molecular research : GMR.