Massively Parallel Open Modification Spectral Library Searching with Hyperdimensional Computing
Author:
Affiliation:
1. University of California
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3559009.3569672
Reference4 articles.
1. W. Bittremieux et al. 2018. Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing. J. Proteome Res. (Sept. 2018). W. Bittremieux et al. 2018. Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing. J. Proteome Res. (Sept. 2018).
2. W. Bittremieux et al. 2019. Extremely Fast and Accurate Open Modification Spectral Library Searching of High-Resolution Mass Spectra Using Feature Hashing and Graphics Processing Units. J. Proteome Res. (Aug. 2019). W. Bittremieux et al. 2019. Extremely Fast and Accurate Open Modification Spectral Library Searching of High-Resolution Mass Spectra Using Feature Hashing and Graphics Processing Units. J. Proteome Res. (Aug. 2019).
3. Y. Kim et al. 2018. Efficient human activity recognition using hyperdimensional computing. In IoT. Y. Kim et al. 2018. Efficient human activity recognition using hyperdimensional computing. In IoT.
4. H. Lam et al. 2007. Development and validation of a spectral library searching method for peptide identification from MS/MS. PROTEOMICS (March 2007). H. Lam et al. 2007. Development and validation of a spectral library searching method for peptide identification from MS/MS. PROTEOMICS (March 2007).
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