• Publications
    • D-gril: End-to-end topological learning with 2-parameter persistence
    • GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
    • Topological Deep Learning: Going Beyond Graph Data
    • Determining clinically relevant features in cytometry data using persistent homology
    • Gefl: Extended filtration learning for graph classification
    • Denoising with discrete Morse theory
    • Gene expression data classification using topology and machine learning models

Gene expression data classification using topology and machine learning models

Jan 1, 2021·
Tamal K Dey
,
Sayan Mandal
,
Soham Mukherjee
· 0 min read
Cite
Last updated on Jan 1, 2021

← Denoising with discrete Morse theory Jan 1, 2021

© 2025 Me. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.