Retraction
DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 functional and endogenous on-target editing efficiency
Paper Information
Record ID:
45875
Author(s):
Journal:
Publication Date:
June 24, 2022
Retraction Date:
July 01, 2023
(2.4 years years ago)
Subjects:
Institution:
School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, IsraelCountry:
🇮🇱 IsraelArticle Type:
Publisher:
Oxford Academic
Open Access:
Yes
PubMed ID:
Retraction PubMed ID:
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.1093/bioinformatics/btad412Additional Notes:
see also: https://academic.oup.com/bioinformatics/article/39/6/btad327/7172230; correction of retraction issued 9/13/2023 to note that authors had not recieved communications concerning the editors concerns: https://academic.oup.com/bioinformatics/article/39/9/btad562/7273151?login=false
Citations (10)
10
Total Citations7
Post-Retraction(70.0%)
2
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
1
Within 30 days
6
Within 1 year
0
After 2+ years
499
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
DeepMEns: an ensemble model for predicting sgRNA on-target activity based on multiple features
Shumei Ding, Jia Zheng, Cangzhi Jia
Briefings in Functional Genomics
Published: Nov 2024
2 citations
2 citations
499 days after retraction
Identification of squalene epoxidase in triterpenes biosynthesis in Poria cocos by molecular docking and CRISPR-Cas9 gene editing
Xiaoliu Liu, Jing Xie, Zhen-ni Xie et al. (7 authors)
Microbial Cell Factories
Open Access
Published: Jan 2024
3 citations
3 citations
208 days after retraction
Epigenetic profiles guide improved CRISPR/Cas9-mediated gene knockout in human T cells
Yusuke Ito, Satoshi Inoue, Takahiro Nakashima et al. (12 authors)
Nucleic Acids Research
Open Access
Published: Nov 2023
11 citations
11 citations
143 days after retraction
A fusion framework of deep learning and machine learning for predicting sgRNA cleavage efficiency
Yu Liu, Rui Fan, Jingkun Yi et al. (5 authors)
Computers in Biology and Medicine
Published: Sep 2023
3 citations
3 citations
67 days after retraction
Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities
Guishan Zhang, Ye Luo, Xianhua Dai et al. (4 authors)
Briefings in Bioinformatics
Published: Sep 2023
18 citations
18 citations
66 days after retraction
A Comparison of Machine Learning Models for Predicting CRISPR/Cas On-target Efficacy
Megan Fowler, Amirhossein Daneshpajouh, Kay C. Wiese
Unknown Journal
Published: Aug 2023
2 citations
2 citations
59 days after retraction
Deep learning in CRISPR-Cas systems: a review of recent studies
Minhyeok Lee
Frontiers in Bioengineering and Biotechnology
Open Access
Published: Jul 2023
33 citations
33 citations
2 days after retraction
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review
Zeinab Sherkatghanad, Moloud Abdar, Jérémy Charlier et al. (4 authors)
Briefings in Bioinformatics
Open Access
Published: Apr 2023
53 citations
53 citations
72 days before retraction
Targeting cancer drug resistance utilizing organoid technology
Changpeng Chai, Pengfei Ji, Hao Xu et al. (7 authors)
Biomedicine & Pharmacotherapy
Open Access
Published: Dec 2022
20 citations
20 citations
197 days before retraction
Quick Stats
Total Citations:
12
Years Since Retraction:
2.4 years
Open Access:
Yes
Last Checked:
Jul 24, 2025