OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
WHISTLE server: A high-accuracy genomic coordinate-based machine learning platform for RNA modification prediction
Lian Liu, Bowen Song, Kunqi Chen, et al.
Methods (2021) Vol. 203, pp. 378-382
Closed Access | Times Cited: 15
Lian Liu, Bowen Song, Kunqi Chen, et al.
Methods (2021) Vol. 203, pp. 378-382
Closed Access | Times Cited: 15
Showing 15 citing articles:
m6A-Atlas v2.0: updated resources for unraveling the N6-methyladenosine (m6A) epitranscriptome among multiple species
Zhanmin Liang, Haokai Ye, Jiongming Ma, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D194-D202
Open Access | Times Cited: 37
Zhanmin Liang, Haokai Ye, Jiongming Ma, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D194-D202
Open Access | Times Cited: 37
m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach
Gang Tu, Xuan Wang, Rong Xia, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
Gang Tu, Xuan Wang, Rong Xia, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
m5CRegpred: Epitranscriptome Target Prediction of 5-Methylcytosine (m5C) Regulators Based on Sequencing Features
Zhizhou He, Jing Xu, Haoran Shi, et al.
Genes (2022) Vol. 13, Iss. 4, pp. 677-677
Open Access | Times Cited: 14
Zhizhou He, Jing Xu, Haoran Shi, et al.
Genes (2022) Vol. 13, Iss. 4, pp. 677-677
Open Access | Times Cited: 14
Hybrid CNN-LSTM and modified wild horse herd Model-based prediction of genome sequences for genetic disorders
K. P. Nandhini, G. Tamilpavai
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103840-103840
Closed Access | Times Cited: 11
K. P. Nandhini, G. Tamilpavai
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103840-103840
Closed Access | Times Cited: 11
Research Progress for RNA Modifications in Physiological and Pathological Angiogenesis
Hui-Ming Chen, Hang Li, Meng-Xian Lin, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 9
Hui-Ming Chen, Hang Li, Meng-Xian Lin, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 9
A novel prognostic signature based on N7-methylguanosine-related long non-coding RNAs in breast cancer
Zhidong Huang, Kaixin Lou, Hong Liu
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 9
Zhidong Huang, Kaixin Lou, Hong Liu
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 9
Primary sequence-assisted prediction of m6A RNA methylation sites from Oxford nanopore direct RNA sequencing data
Yuxin Zhang, Daiyun Huang, Zhen Wei, et al.
Methods (2022) Vol. 203, pp. 62-69
Closed Access | Times Cited: 8
Yuxin Zhang, Daiyun Huang, Zhen Wei, et al.
Methods (2022) Vol. 203, pp. 62-69
Closed Access | Times Cited: 8
Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types
Rong Xia, Xiangyu Yin, Jiaming Huang, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 4, pp. 102376-102376
Open Access | Times Cited: 1
Rong Xia, Xiangyu Yin, Jiaming Huang, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 4, pp. 102376-102376
Open Access | Times Cited: 1
mAexpress-Reader: Prediction of m6A regulated expression genes by integrating m6A sites and reader binding information in specific- context
Teng Zhang, Shao‐Wu Zhang, Song-Yao Zhang, et al.
Methods (2022) Vol. 203, pp. 167-178
Closed Access | Times Cited: 4
Teng Zhang, Shao‐Wu Zhang, Song-Yao Zhang, et al.
Methods (2022) Vol. 203, pp. 167-178
Closed Access | Times Cited: 4
M1ARegpred: Epitranscriptome Target Prediction of N1-methyladenosine (m1A) Regulators Based on Sequencing Features and Genomic Features
Jiahui Yao, Meng-Xian Lin, Wenjun Liao, et al.
Frontiers in Bioscience-Landmark (2022) Vol. 27, Iss. 9, pp. 269-269
Open Access | Times Cited: 3
Jiahui Yao, Meng-Xian Lin, Wenjun Liao, et al.
Frontiers in Bioscience-Landmark (2022) Vol. 27, Iss. 9, pp. 269-269
Open Access | Times Cited: 3
Corporate network anomaly detection methodology utilizing machine learning algorithms
N. Baisholan, Karlygash Baisholanova, Kazila Erikenovich KUBAYEV, et al.
Smart Science (2024), pp. 1-13
Closed Access
N. Baisholan, Karlygash Baisholanova, Kazila Erikenovich KUBAYEV, et al.
Smart Science (2024), pp. 1-13
Closed Access
Domain-knowledge enabled ensemble learning of 5-formylcytosine (f5C) modification sites
Jiaming Huang, Xuan Wang, Rong Xia, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3175-3185
Open Access
Jiaming Huang, Xuan Wang, Rong Xia, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3175-3185
Open Access
DPred_3S: identifying dihydrouridine (D) modification on three species epitranscriptome based on multiple sequence-derived features
Jinjin Ren, Xiaozhen Chen, Zhengqian Zhang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access
Jinjin Ren, Xiaozhen Chen, Zhengqian Zhang, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access
Bioinformatics resources for understanding RNA modifications
Jia Meng, Zhixiang Zuo, Tzong-Yi Lee, et al.
Methods (2022) Vol. 206, pp. 53-55
Closed Access
Jia Meng, Zhixiang Zuo, Tzong-Yi Lee, et al.
Methods (2022) Vol. 206, pp. 53-55
Closed Access
Recent Development of Computational Methods in the Field of Epitranscriptomics
Zijie Zhang, Shun Liu, Chuan He, et al.
Springer handbooks of computational statistics (2022), pp. 285-309
Closed Access
Zijie Zhang, Shun Liu, Chuan He, et al.
Springer handbooks of computational statistics (2022), pp. 285-309
Closed Access
