한빛사논문 | BRIC

Balachandran Manavalan 님의 논문 목록

성균관대학교

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H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA
- Brief. Bioinform., Nov 22 2023, 25 (1) bbad476 | https://doi.org/10.1093/bib/bbad476
- 2023-11
- 생명과학
- 한빛사논문
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach
- Brief. Bioinform., Nov 22 2023, 25 (1) bbad433 | https://doi.org/10.1093/bib/bbad433
- 2023-11
- 생명과학
- 한빛사논문
An Effective Integrated Machine Learning Framework for Identifying Severity of Tomato Yellow Leaf Curl Virus and Their Experimental Validation
- Research, 10 Jan 2023, Vol 6, 0016 | DOI: 10.34133/research.0016
- 2023-01
- 생명과학
- 한빛사논문
- Balachandran Manavalan(성균관대학교)
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning
- Brief. Bioinform., 23 December 2022 | https://doi.org/10.1093/bib/bbac545
- 2022-12
- 생명과학
- 한빛사논문
- Balachandran Manavalan(성균관대학교)
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model
- Brief. Bioinform., Published: 01 July 2022 | https://doi.org/10.1093/bib/bbac265
- 2022-07
- 생명과학
- 한빛사논문
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
- Brief. Bioinform., Published: 27 June 2022 | https://doi.org/10.1093/bib/bbac243
- 2022-06
- 생명과학
- 한빛사논문
- Balachandran Manavalan(성균관대학교)
Deepm5C: A deep learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
- Mol. Ther., Available online 6 May 2022 | https://doi.org/10.1016/j.ymthe.2022.05.001
- 2022-05
- 생명과학
- 한빛사논문
- Balachandran Manavalan(아주대학교)
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
- Brief. Bioinform., Volume 22, Issue 6, November 2021, bbab172 | https://doi.org/10.1093/bib/bbab172
- 2021-11
- 생명과학
- 한빛사논문
- Balachandran Manavalan(아주대학교)
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
- Brief. Bioinform., Volume 22, Issue 6, November 2021, bbab167 | https://doi.org/10.1093/bib/bbab167
- 2021-11
- 생명과학
- 한빛사논문
MLACP: machine-learning-based prediction of anticancer peptides
- Oncotarget, Published online 2017 Aug 19 | https://doi.org/10.18632/oncotarget.20365
- 2017-08
- 의약학
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