Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set
Background Identifying protein-protein interactions (PPIs) is essential for elucidating protein
functions and understanding the molecular mechanisms inside the cell. However, the …
functions and understanding the molecular mechanisms inside the cell. However, the …
Predicting hub genes associated with cervical cancer through gene co-expression networks
SP Deng, L Zhu, DS Huang - IEEE/ACM Transactions on …, 2015 - ieeexplore.ieee.org
Cervical cancer is the third most common malignancy in women worldwide. It remains a
leading cause of cancer-related death for women in developing countries. In order to …
leading cause of cancer-related death for women in developing countries. In order to …
Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks
SP Deng, L Zhu, DS Huang - BMC genomics, 2015 - Springer
Background Bladder cancer is the most common malignant tumor of the urinary system and
it is a heterogeneous disease with both superficial and invasive growth. However, its …
it is a heterogeneous disease with both superficial and invasive growth. However, its …
RPCA-based tumor classification using gene expression data
JX Liu, Y Xu, CH Zheng, H Kong… - IEEE/ACM Transactions …, 2014 - ieeexplore.ieee.org
Microarray techniques have been used to delineate cancer groups or to identify candidate
genes for cancer prognosis. As such problems can be viewed as classification ones, various …
genes for cancer prognosis. As such problems can be viewed as classification ones, various …
Learning misclassification costs for imbalanced classification on gene expression data
Background Cost-sensitive algorithm is an effective strategy to solve imbalanced
classification problem. However, the misclassification costs are usually determined …
classification problem. However, the misclassification costs are usually determined …
Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal …
Background Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of
esophageal carcinoma in China. This study was to develop a staging model to predict …
esophageal carcinoma in China. This study was to develop a staging model to predict …
Gene selection using locality sensitive Laplacian score
Gene selection based on microarray data, is highly important for classifying tumors
accurately. Existing gene selection schemes are mainly based on ranking statistics. From …
accurately. Existing gene selection schemes are mainly based on ranking statistics. From …
Classification of protein structure classes on flexible neutral tree
W Bao, D Wang, Y Chen - IEEE/ACM transactions on …, 2016 - ieeexplore.ieee.org
Accurate classification on protein structural is playing an important role in Bioinformatics. An
increase in evidence demonstrates that a variety of classification methods have been …
increase in evidence demonstrates that a variety of classification methods have been …
Semi-supervised maximum discriminative local margin for gene selection
Z Li, B Liao, L Cai, M Chen, W Liu - Scientific reports, 2018 - nature.com
In the present study, we introduce a novel semi-supervised method called the semi-
supervised maximum discriminative local margin (semiMM) for gene selection in expression …
supervised maximum discriminative local margin (semiMM) for gene selection in expression …
An efficient ensemble learning approach for predicting protein-protein interactions by integrating protein primary sequence and evolutionary information
Protein-protein interactions (PPIs) perform a very important function in a number of cellular
processes, including signal transduction, post-translational modifications, apoptosis, and …
processes, including signal transduction, post-translational modifications, apoptosis, and …