Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification?
Human protein subcellular location prediction can provide critical knowledge for understanding a protein’s function. Since significant progress has been made on digital microscopy, automated image-based protein subcellular location classification is urgently needed. In this paper, we aim to investig...
Saved in:
Main Authors: | Fan Yang, Ying-Ying Xu, Hong-Bin Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/429049 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Texture Analysis and Classification using Local Binary Patterns and Statistical Features
by: Hasan Maher
Published: (2024-09-01) -
Mapping subcellular RNA localization with proximity labeling
by: Liu Jiapeng, et al.
Published: (2024-08-01) -
Identification and subcellular localization of proteins that interact with Duck plague virus pUL14 in infected host cells
by: Jieyu Wan, et al.
Published: (2025-01-01) -
Distinct subcellular localization of tau and alpha-synuclein in lewy body disease
by: D. Luke Fischer, et al.
Published: (2025-01-01) -
Scalable Multilabel Learning Based on Feature and Label Dimensionality Reduction
by: Jaesung Lee, et al.
Published: (2018-01-01)