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Chapter and Conference Paper
MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection
Colorectal cancer (CRC) patients who are detected as microsatellite instability (MSI) can receive precise targeted therapies, but existing MSI detection methods are not available to all patients due to various...
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Chapter
A Circle Pattern Algorithm via Combinatorial Ricci Flows
A circle pattern is a configuration of circles with a prescribed combinatoric and prescribed intersection angles. Based on the idea of combinatorial Ricci flows, we present an iterative process which converges...
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Article
Open AccessProtein complex detection based on partially shared multi-view clustering
Protein complexes are the key molecular entities to perform many essential biological functions. In recent years, high-throughput experimental techniques have generated a large amount of protein interaction da...
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Article
Open AccessComparative analysis of housekee** and tissue-specific driver nodes in human protein interaction networks
Several recent studies have used the Minimum Dominating Set (MDS) model to identify driver nodes, which provide the control of the underlying networks, in protein interaction networks. There may exist multiple...
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Article
Open AccessRegularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer
To facilitate advances in personalized medicine, it is important to detect predictive, stable and interpretable biomarkers related with different clinical characteristics. These clinical characteristics may be...
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Article
Open AccessA two-layer integration framework for protein complex detection
Protein complexes carry out nearly all signaling and functional processes within cells. The study of protein complexes is an effective strategy to analyze cellular functions and biological processes. With the ...
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Article
Open AccessIdentifying binary protein-protein interactions from affinity purification mass spectrometry data
The identification of protein-protein interactions contributes greatly to the understanding of functional organization within cells. With the development of affinity purification-mass spectrometry (AP-MS) tech...
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Article
Open AccessDetermining minimum set of driver nodes in protein-protein interaction networks
Recently, several studies have drawn attention to the determination of a minimum set of driver proteins that are important for the control of the underlying protein-protein interaction (PPI) networks. In gener...
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Article
Open AccessDetecting temporal protein complexes from dynamic protein-protein interaction networks
Proteins dynamically interact with each other to perform their biological functions. The dynamic operations of protein interaction networks (PPI) are also reflected in the dynamic formations of protein complex...
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Article
Open AccessDetecting overlap** protein complexes based on a generative model with functional and topological properties
Identification of protein complexes can help us get a better understanding of cellular mechanism. With the increasing availability of large-scale protein-protein interaction (PPI) data, numerous computational ...
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Chapter and Conference Paper
Reflectance Estimation Using Local Regression Methods
Regression methods have been widely used in the problem of spectral reflectance estimation from camera responses, due to their simple application without needing prior knowledge of the imaging system. These me...
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Chapter and Conference Paper
Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement
This article presents a novel weighted-subband method based on wavelet decomposition for face recognition under variable illumination. Different levels of subbands contain different features of the edge of a h...
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Chapter and Conference Paper
Learning with Multiple Orientations and Scales for Face Recognition
A novel feature fusion algorithm using multiple orientations and scales for illumination-robust face recognition is proposed in this paper. For a given image, it will firstly be transformed by a group of Gabor...
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Chapter and Conference Paper
On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks
Kernel-based machine learning techniques, such as support vector machines, regularization networks, have been widely used in pattern analysis. Kernel function plays an important role in the design of such lear...
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Chapter and Conference Paper
Detecting Periodically Expression in Unevenly Spaced Microarray Time Series
Spectral estimation has important applications to microarray time series analysis. For unevenly sampled data, a common spectral estimation technique is to use the Lomb-Scargle algorithm. In this paper, we intr...
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Chapter and Conference Paper
Biclustering of Microarray Data Based on Singular Value Decomposition
Biclustering is an important approach in microarray data analysis. Using biclustering algorithms, one can identify sets of genes sharing compatible expression patterns across subsets of samples. These patterns...
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Chapter and Conference Paper
A Multi-scale Dynamically Growing Hierarchical Self-organizing Map for Brain MRI Image Segmentation
With Kohonen’s self-organizing map based brain MRI image segmentation, there are still some regions which are not partitioned accurately, particularly in the transitional regions of gray matter and white matte...
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Article
Fourier Method for an Over–Determined Elliptic System with Several Complex Variables
Two boundary value problems are investigated for an over–determined elliptic system with several complex variables in polydisc. Necessary and sufficient conditions for the existence of finitely many linearly i...
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Chapter and Conference Paper
Face Recognition by Inverse Fisher Discriminant Features
For face recognition task the PCA plus LDA technique is a famous two-phrase framework to deal with high dimensional space and singular cases. In this paper, we examine the theory of this framework: (1) LDA can...
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Chapter and Conference Paper
Wavelet-Based 2-Parameter Regularized Discriminant Analysis for Face Recognition
This paper addresses the small-size problem in Fisher Discriminant Analysis. We propose to use wavelet transform for preliminary dimensionality reduction and use a two-parameter regularization scheme for the w...
