Bioimage-based protein subcellular location prediction: a comprehensive review
YY Xu, LX Yao, HB Shen - Frontiers of Computer Science, 2018 - Springer
Subcellular localization of proteins can provide key hints to infer their functions and
structures in cells. With the breakthrough of recent molecule imaging techniques, the usage …
structures in cells. With the breakthrough of recent molecule imaging techniques, the usage …
[HTML][HTML] A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data
Drug-induced toxicity damages the health and is one of the key factors causing drug
withdrawal from the market. It is of great significance to identify drug-induced target-organ …
withdrawal from the market. It is of great significance to identify drug-induced target-organ …
ML-FOREST: A multi-label tree ensemble method for multi-label classification
Q Wu, M Tan, H Song, J Chen… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Multi-label classification deals with the problem where each example is associated with
multiple class labels. Since the labels are often dependent to other labels, exploiting label …
multiple class labels. Since the labels are often dependent to other labels, exploiting label …
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two …
Protein subcellular localization plays a crucial role in characterizing the function of proteins
and understanding various cellular processes. Therefore, accurate identification of protein …
and understanding various cellular processes. Therefore, accurate identification of protein …
Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs
Protein-DNA interactions are ubiquitous in a wide variety of biological processes. Correctly
locating DNA-binding residues solely from protein sequences is an important but …
locating DNA-binding residues solely from protein sequences is an important but …
Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry images
F Wang, L Wei - Bioinformatics, 2022 - academic.oup.com
Motivation The development of microscopic imaging techniques enables us to study protein
subcellular locations from the tissue level down to the cell level, contributing to the rapid …
subcellular locations from the tissue level down to the cell level, contributing to the rapid …
A convolutional neural network-based framework for classification of protein localization using confocal microscopy images
Understanding protein subcellular localization is vital and indispensable in proteomics
research. Molecular biology and computer science developments have enabled the use of …
research. Molecular biology and computer science developments have enabled the use of …
Review of research on biomedical image processing based on pattern recognition
Y XU, H SHEN - 电子与信息学报, 2020 - jeit.ac.cn
Pattern recognition algorithms can discover valuable information from mass data of
biomedical images as guide for basic research and clinical application. In recent years, with …
biomedical images as guide for basic research and clinical application. In recent years, with …
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images
W Long, Y Yang, HB Shen - Bioinformatics, 2020 - academic.oup.com
Motivation The tissue atlas of the human protein atlas (HPA) houses immunohistochemistry
(IHC) images visualizing the protein distribution from the tissue level down to the cell level …
(IHC) images visualizing the protein distribution from the tissue level down to the cell level …
Protein subcellular localization based on deep image features and criterion learning strategy
The spatial distribution of proteome at subcellular levels provides clues for protein functions,
thus is important to human biology and medicine. Imaging-based methods are one of the …
thus is important to human biology and medicine. Imaging-based methods are one of the …