Li M - Search Results

1

Deep neural network for detecting arbitrary precision peptide features through attention based segmentation.

Zohora FT, Rahman MZ, Tran NH, Xin L, Shan B, Li M. Zohora FT, et al. Among authors: li m. Sci Rep. 2021 Sep 14;11(1):18249. doi: 10.1038/s41598-021-97669-7. Sci Rep. 2021. PMID: 34521906 Free PMC article.

2

Complete De Novo Assembly of Monoclonal Antibody Sequences.

Tran NH, Rahman MZ, He L, Xin L, Shan B, Li M. Tran NH, et al. Among authors: li m. Sci Rep. 2016 Aug 26;6:31730. doi: 10.1038/srep31730. Sci Rep. 2016. PMID: 27562653 Free PMC article.

3

De novo peptide sequencing by deep learning.

Tran NH, Zhang X, Xin L, Shan B, Li M. Tran NH, et al. Among authors: li m. Proc Natl Acad Sci U S A. 2017 Aug 1;114(31):8247-8252. doi: 10.1073/pnas.1705691114. Epub 2017 Jul 18. Proc Natl Acad Sci U S A. 2017. PMID: 28720701 Free PMC article.

4

Deep Omics.

Tran NH, Zhang X, Li M. Tran NH, et al. Among authors: li m. Proteomics. 2018 Jan;18(2). doi: 10.1002/pmic.201700319. Epub 2017 Dec 29. Proteomics. 2018. PMID: 29239117

5

Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry.

Tran NH, Qiao R, Xin L, Chen X, Liu C, Zhang X, Shan B, Ghodsi A, Li M. Tran NH, et al. Among authors: li m. Nat Methods. 2019 Jan;16(1):63-66. doi: 10.1038/s41592-018-0260-3. Epub 2018 Dec 20. Nat Methods. 2019. PMID: 30573815

6

ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition.

Zhang W, Liang Z, Chen X, Xin L, Shan B, Luo Z, Li M. Zhang W, et al. Among authors: li m. IEEE/ACM Trans Comput Biol Bioinform. 2021 Jul-Aug;18(4):1416-1425. doi: 10.1109/TCBB.2019.2945954. Epub 2021 Aug 6. IEEE/ACM Trans Comput Biol Bioinform. 2021. PMID: 31603795

7

DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map.

Zohora FT, Rahman MZ, Tran NH, Xin L, Shan B, Li M. Zohora FT, et al. Among authors: li m. Sci Rep. 2019 Nov 20;9(1):17168. doi: 10.1038/s41598-019-52954-4. Sci Rep. 2019. PMID: 31748623 Free PMC article.

8

A tale of solving two computational challenges in protein science: neoantigen prediction and protein structure prediction.

Tran NH, Xu J, Li M. Tran NH, et al. Among authors: li m. Brief Bioinform. 2022 Jan 17;23(1):bbab493. doi: 10.1093/bib/bbab493. Brief Bioinform. 2022. PMID: 34891158 Free PMC article. Review.

9

A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics.

Xin L, Qiao R, Chen X, Tran H, Pan S, Rabinoviz S, Bian H, He X, Morse B, Shan B, Li M. Xin L, et al. Among authors: li m. Nat Commun. 2022 Jun 7;13(1):3108. doi: 10.1038/s41467-022-30867-7. Nat Commun. 2022. PMID: 35672356 Free PMC article.

10

Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics.

Sun W, Zhang Q, Zhang X, Tran NH, Ziaur Rahman M, Chen Z, Peng C, Ma J, Li M, Xin L, Shan B. Sun W, et al. Among authors: li m. Nat Commun. 2023 Jul 8;14(1):4046. doi: 10.1038/s41467-023-39699-5. Nat Commun. 2023. PMID: 37422459 Free PMC article.

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