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Chapter and Conference Paper
CHLPCA: Correntropy-Based Hypergraph Regularized Sparse PCA for Single-Cell Type Identification
Over the past decade, high-throughput sequencing technologies have driven a dramatic increase in single-cell RNA sequencing (scRNA-seq) data. The study of scRNA-seq data has widened the scope and depth of rese...
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Article
Adaptive Total-Variation Regularized Low-Rank Representation for Analyzing Single-Cell RNA-seq Data
High-throughput sequencing of single-cell gene expression reveals a complex mechanism of individual cell’s heterogeneity in a population. An important purpose for analyzing single-cell RNA sequencing (scRNA-se...
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Chapter and Conference Paper
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features
Along with the rapid development of high-throughput sequencing technology, a large amount of multi-omics data sets are generated, which provide more opportunities to understand the mechanism of complex disease...
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Chapter and Conference Paper
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes
In current molecular biology, it becomes more and more important to identify characteristic genes closely correlated with a key biological process from gene expression data. In this paper, a novel compressed s...
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Chapter and Conference Paper
A Simple Review of Sparse Principal Components Analysis
Principal Component Analysis (PCA) is a common tool for dimensionality reduction and feature extraction, which has been applied in many fields, such as biology, medicine, machine learning and bioinformatics. B...
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Article
Reservoir parameter inversion based on weighted statistics
Variation of reservoir physical properties can cause changes in its elastic parameters. However, this is not a simple linear relation. Furthermore, the lack of observations, data overlap, noise interference, a...
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Chapter and Conference Paper
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes
In this paper, we view gene selection as a feature selection issue, evaluate the response to the abiotic stresses of the genes in a holistic way and propose the Two-Stage Sparse Selection (TSSS) method for gen...
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Article
Preparation and performance of dye-sensitized solar cells based on ZnO-modified TiO2 electrodes
The ZnO-modified TiO2 electrode was prepared by adding Zn(CH3COO)2·2H2O to the TiO2 colloid during the sol-gel production process, and was used in dye-sensitized solar cells (DSCs). The open circuit voltage (V ...
