Mao X - Search Results

1

NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods.

Jiang M, Zhao B, Luo S, Wang Q, Chu Y, Chen T, Mao X, Liu Y, Wang Y, Jiang X, Wei DQ, Xiong Y. Jiang M, et al. Among authors: mao x. Brief Bioinform. 2021 Nov 5;22(6):bbab310. doi: 10.1093/bib/bbab310. Brief Bioinform. 2021. PMID: 34396388

2

Pyrazinamide resistance and mutations L19R, R140H, and E144K in Pyrazinamidase of Mycobacterium tuberculosis.

Khan MT, Junaid M, Mao X, Wang Y, Hussain A, Malik SI, Wei DQ. Khan MT, et al. Among authors: mao x. J Cell Biochem. 2019 May;120(5):7154-7166. doi: 10.1002/jcb.27989. Epub 2018 Nov 28. J Cell Biochem. 2019. PMID: 30485476

3

Immunoinformatic and systems biology approaches to predict and validate peptide vaccines against Epstein-Barr virus (EBV).

Ali A, Khan A, Kaushik AC, Wang Y, Ali SS, Junaid M, Saleem S, Cho WCS, Mao X, Wei DQ. Ali A, et al. Among authors: mao x. Sci Rep. 2019 Jan 24;9(1):720. doi: 10.1038/s41598-018-37070-z. Sci Rep. 2019. PMID: 30679646 Free PMC article.

4

MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information.

Dai Q, Chu Y, Li Z, Zhao Y, Mao X, Wang Y, Xiong Y, Wei DQ. Dai Q, et al. Among authors: mao x. Comput Biol Med. 2021 Sep;136:104706. doi: 10.1016/j.compbiomed.2021.104706. Epub 2021 Jul 28. Comput Biol Med. 2021. PMID: 34371319

5

Machine learning of flow cytometry data reveals the delayed innate immune responses correlate with the severity of COVID-19.

Zhu J, Chen T, Mao X, Fang Y, Sun H, Wei DQ, Ji G. Zhu J, et al. Among authors: mao x. Front Immunol. 2023 Jan 26;14:974343. doi: 10.3389/fimmu.2023.974343. eCollection 2023. Front Immunol. 2023. PMID: 36845115 Free PMC article.

6

A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data.

Jiang X, Li Z, Mehmood A, Wang H, Wang Q, Chu Y, Mao X, Zhao J, Jiang M, Zhao B, Lin G, Wang E, Wei D. Jiang X, et al. Among authors: mao x. Interdiscip Sci. 2023 Sep;15(3):405-418. doi: 10.1007/s12539-023-00563-1. Epub 2023 May 29. Interdiscip Sci. 2023. PMID: 37247186

7

MATT-DDI: Predicting multi-type drug-drug interactions via heterogeneous attention mechanisms.

Lin S, Mao X, Hong L, Lin S, Wei DQ, Xiong Y. Lin S, et al. Among authors: mao x. Methods. 2023 Dec;220:1-10. doi: 10.1016/j.ymeth.2023.10.007. Epub 2023 Oct 18. Methods. 2023. PMID: 37858611

8

TEPCAM: Prediction of T-cell receptor-epitope binding specificity via interpretable deep learning.

Chen J, Zhao B, Lin S, Sun H, Mao X, Wang M, Chu Y, Hong L, Wei DQ, Li M, Xiong Y. Chen J, et al. Among authors: mao x. Protein Sci. 2024 Jan;33(1):e4841. doi: 10.1002/pro.4841. Protein Sci. 2024. PMID: 37983648 Free PMC article.

9

Designed with interactome-based deep learning.

Mao X, Chu Y, Wei D. Mao X, et al. Nat Chem Biol. 2024 Nov;20(11):1399-1401. doi: 10.1038/s41589-024-01754-7. Nat Chem Biol. 2024. PMID: 39424957 No abstract available.

10

Comparison of hybridization behavior between double and single strands of targets and the application of asymmetric PCR targets in cDNA microarray.

Wei Q, Liu S, Huang J, Mao X, Chu X, Wang Y, Qiu M, Mao Y, Xie Y, Li Y. Wei Q, et al. Among authors: mao y, mao x. J Biochem Mol Biol. 2004 Jul 31;37(4):439-44. doi: 10.5483/bmbrep.2004.37.4.439. J Biochem Mol Biol. 2004. PMID: 15469731

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