Concepedia

Machine Learning For Sequencing

Machine Learning for Sequencing is a computational methodology within de novo peptide sequencing that employs machine learning models to interpret mass spectrometry data and predict amino acid sequences by learning patterns from experimental spectra, distinguishing it from rule-based or heuristic approaches through its reliance on data-driven inference.

27

Publications

2K

Citations

130

Authors

56

Institutions

Publications per year

2017–2026

22

Parents

Publications

27

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

Ngoc Hieu Tran, Rui Qiao, Lei Xin et al. · Nature Methods · 2018 · 383 citations

, , +14

Detection of m6A from direct RNA sequencing using a multiple instance learning framework

Christopher Hendra, Ploy N. Pratanwanich, Yuk Kei Wan et al. · Nature Methods · 2022 · 291 citations · Full text

, , +13

Novor: Real-Time Peptide de Novo Sequencing Software

Bin Ma · Journal of the American Society for Mass Spectrometry · 2015 · 269 citations · Full text

, , +16

Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and <scp>RNA</scp> Sequencing Data

Dana E. Orange, Phaedra Agius, Edward F. DiCarlo et al. · Arthritis & Rheumatology · 2018 · 214 citations · Full text

, , +17

Artificial neural networks for molecular sequence analysis

Cathy Wu · Computers & Chemistry · 1997 · 108 citations

, , +13

1–5 of 27

Authors

130

  1. YK
    Yuk Kei Wan

    National University of Singapore, Singapore

    2 publications · 320 citations

    2

    h-index

  2. WS
    W.S. Sho Goh

    Genome Institute of Singapore, Singapore

    2 publications · 320 citations

    2

    h-index

  3. CH
    Christopher Hendra

    National University of Singapore, Singapore

    2 publications · 320 citations

    2

    h-index

  4. ML
    Ming Li

    University of Waterloo, Canada

    2 publications · 420 citations

    2

    h-index

  5. LX
    Lei Xin

    Bioinformatics Solutions (Canada), Canada

    2 publications · 420 citations

    2

    h-index

1–5 of 130

Institutions

56

  1. University of Waterloo

    Waterloo, Canada

    3 h-index

    9 publications

    2.3K citations

  2. Agency for Science, Technology and Research

    Singapore, Singapore

    2 h-index

    7 publications

    989 citations

  3. National Cancer Centre Singapore

    Singapore, Singapore

    2 h-index

    2 publications

    320 citations

  4. Shenzhen Bay Laboratory

    Shenzhen, China

    2 h-index

    2 publications

    320 citations

  5. Genome Institute of Singapore

    Singapore, Singapore

    2 h-index

    8 publications

    1.3K citations

  6. Bioinformatics Solutions (Canada)

    Waterloo, Canada

    2 h-index

    4 publications

    1.2K citations

  7. National University of Singapore

    Singapore, Singapore

    2 h-index

    6 publications

    1.2K citations

  8. Indian Institute of Technology Indore

    Indore, India

    2 h-index

    6 publications

    75 citations

1–8 of 56

Venues

  1. Nature Methods

    2 publications · 674 citations

    2

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 87 citations

    2

    h-index

  3. Briefings in Bioinformatics

    2 publications · 118 citations

    2

    h-index

  4. Journal of the American Society for Mass Spectrometry

    JASMS · 2 publications · 280 citations

    2

    h-index

  5. Journal Of Big Data

    1 publications · 21 citations

    1

    h-index

1–5