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Predict Epitranscriptome Targets and Regulatory Functions of N 6 -Methyladenosine (m 6 A) Writers and Erasers.
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- Evolutionary Bioinformatics, 2019, p. 1, doi. 10.1177/1176934319871290
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- Article
AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation.
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- Computational Intelligence & Neuroscience, 2023, p. 1, doi. 10.1155/2023/5960764
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- Article
ConsRM: collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab088
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- Article
Say What You Are Looking At: An Attention-Based Interactive System for Autistic Children.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 16, p. 7426, doi. 10.3390/app11167426
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A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations.
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- Frontiers in Genetics, 2020, v. 11, p. N.PAG, doi. 10.3389/fgene.2020.585029
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Novel Model for Cascading Failure Based on Degree Strength and Its Application in Directed Gene Logic Networks.
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- Computational & Mathematical Methods in Medicine, 2018, p. 1, doi. 10.1155/2018/8950794
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- Article
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.
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- Bioinformatics, 2021, v. 37, p. i222, doi. 10.1093/bioinformatics/btab278
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- Publication type:
- Article
m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m<sup>7</sup>G) sites in human.
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- Bioinformatics, 2020, v. 36, n. 11, p. 3528, doi. 10.1093/bioinformatics/btaa178
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- Article
Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications.
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- Nature Communications, 2021, v. 12, p. 1, doi. 10.1038/s41467-021-24313-3
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- Article
FECTS: A Facial Emotion Cognition and Training System for Chinese Children with Autism Spectrum Disorder.
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- Computational Intelligence & Neuroscience, 2022, p. 1, doi. 10.1155/2022/9213526
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- Publication type:
- Article
m6Acomet: large-scale functional prediction of individual m<sup>6</sup>A RNA methylation sites from an RNA co-methylation network.
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- BMC Bioinformatics, 2019, v. 20, n. 1, p. 1, doi. 10.1186/s12859-019-2840-3
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- Article
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.
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- Journal of Digital Imaging, 2024, v. 37, n. 3, p. 965, doi. 10.1007/s10278-024-00987-1
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- Article
Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation.
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- Nucleic Acids Research, 2022, v. 50, n. 18, p. 10290, doi. 10.1093/nar/gkac830
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- Publication type:
- Article
m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome.
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- Nucleic Acids Research, 2022, v. 50, n. D1, p. D196, doi. 10.1093/nar/gkab1075
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- Article
m<sup>6</sup>A-Atlas: a comprehensive knowledgebase for unraveling the N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) epitranscriptome.
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- Nucleic Acids Research, 2021, v. 49, n. D1, p. D134, doi. 10.1093/nar/gkaa692
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- Article
WHISTLE: a high-accuracy map of the human N<sup>6</sup>-methyladenosine (m<sup>6</sup>A) epitranscriptome predicted using a machine learning approach.
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- Nucleic Acids Research, 2019, v. 47, n. 7, p. e41, doi. 10.1093/nar/gkz074
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- Publication type:
- Article
Intention Understanding in Human–Robot Interaction Based on Visual-NLP Semantics.
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- Frontiers in Neurorobotics, 2021, v. 14, p. N.PAG, doi. 10.3389/fnbot.2020.610139
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- Article
Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles.
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- Computational & Mathematical Methods in Medicine, 2015, v. 2015, p. 1, doi. 10.1155/2015/621264
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- Article
PIANO: A Web Server for Pseudouridine-Site (Ψ) Identification and Functional Annotation.
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- Frontiers in Genetics, 2020, p. 1, doi. 10.3389/fgene.2020.00088
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- Article
Film-GAN: towards realistic analog film photo generation.
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- Neural Computing & Applications, 2024, v. 36, n. 8, p. 4281, doi. 10.1007/s00521-023-09283-5
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- Article
Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods.
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- Evolutionary Bioinformatics, 2020, v. 16, p. 1, doi. 10.1177/1176934320915707
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- Publication type:
- Article
Prediction of RNA Methylation Status From Gene Expression Data Using Classification and Regression Methods.
- Published in:
- Evolutionary Bioinformatics, 2020, p. 1, doi. 10.1177/1176934320915707
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- Publication type:
- Article
Predict Epitranscriptome Targets and Regulatory Functions of N 6 -Methyladenosine (m 6 A) Writers and Erasers.
- Published in:
- Evolutionary Bioinformatics, 2019, v. 15, p. N.PAG, doi. 10.1177/1176934319871290
- By:
- Publication type:
- Article
Predict Epitranscriptome Targets and Regulatory Functions of N 6 -Methyladenosine (m 6 A) Writers and Erasers.
- Published in:
- Evolutionary Bioinformatics, 2019, v. 15, p. N.PAG, doi. 10.1177/1176934319871290
- By:
- Publication type:
- Article