Search Results

MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks.

• Authors : Li, Chen-Chen^1,2 (AUTHOR); Liu, Bin^1,3 (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; PROTEIN folding; PROTEIN structure

• Source: Briefings in Bioinformatics. Nov2020, Vol. 21 Issue 6, p2133-2141. 9p.

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RefRGim: an intelligent reference panel reconstruction method for genotype imputation with convolutional neural networks.

• Authors : Shi, Shuo¹ (AUTHOR); Qian, Qiheng¹ (AUTHOR); Yu, Shuhuan¹ (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; GENOTYPES; SINGLE nucleotide polymorphisms

• Source: Briefings in Bioinformatics. Nov2021, Vol. 22 Issue 6, p1-9. 9p.

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Nmix: a hybrid deep learning model for precise prediction of 2'-O-methylation sites based on multi-feature fusion and ensemble learning.

• Authors : Geng, Yu-Qing¹ (AUTHOR); Lai, Fei-Liao¹ (AUTHOR); Luo, Hao¹ (AUTHOR)

Subjects: *STATISTICAL correlation; *INTERNET servers; RNA modification & restriction

• Source: Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-14. 14p.

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mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences.

• Authors : Ho, Quang-Thai¹ (AUTHOR); Le, Nguyen Quoc Khanh² (AUTHOR); Ou, Yu-Yen³ (AUTHOR)

Subjects: *INFORMATION networks; *INTERNET servers; CONVOLUTIONAL neural networks

• Source: Briefings in Bioinformatics. Jan2022, Vol. 23 Issue 1, p1-11. 11p.

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TERL: classification of transposable elements by convolutional neural networks.

• Authors : Cruz, Murilo Horacio Pereira da^1,2 (AUTHOR) ; Domingues, Douglas Silva^3,4,5 (AUTHOR); Saito, Priscila Tiemi Maeda^6,7,8,9 (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; EUKARYOTIC genomes; DEEP learning

• Source: Briefings in Bioinformatics. May2021, Vol. 22 Issue 3, p1-19. 19p.

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RiceSNP-BST: a deep learning framework for predicting biotic stress–associated SNPs in rice.

• Authors : Xu, Jiajun; Gao, Yujia; Lu, Quan

Subjects: GENOMICS; GENOME-wide association studies; CONVOLUTIONAL neural networks

• Source: Briefings in Bioinformatics; Nov2024, Vol. 25 Issue 6, p1-13, 13p

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Machine learning-assisted substrate binding pocket engineering based on structural information.

• Authors : Wang, Xinglong^1,2,3 (AUTHOR); Xu, Kangjie³ (AUTHOR); Zeng, Xuan⁴ (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; ACID phosphatase; BINDING sites

• Source: Briefings in Bioinformatics. Sep2024, Vol. 25 Issue 5, p1-9. 9p.

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DeepCheck: multitask learning aids in assessing microbial genome quality.

• Authors : Wei, Guo¹ (AUTHOR); Wu, Nannan¹ (AUTHOR); Zhao, Kunyang¹ (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; MICROBIAL genomes; MACHINE learning

• Source: Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-12. 12p.

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A two-task predictor for discovering phase separation proteins and their undergoing mechanism.

• Authors : Zhou, Yetong¹ (AUTHOR); Zhou, Shengming^2,3 (AUTHOR); Bi, Yue⁴ (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; PHASE separation; PROTEIN fractionation

• Source: Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-13. 13p.

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Correction to: mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences.

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN:

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