[HTML][HTML] Knowledge gaps to understanding cardiac macrophage polarization following myocardial infarction

ML Lindsey, JJ Saucerman… - Biochimica et Biophysica …, 2016 - Elsevier
Following myocardial infarction (MI), macrophages coordinate both pro-inflammatory and
reparative responses of the left ventricle (LV) by reacting to and secreting cytokines …

Mechanical regulation of fibroblast migration and collagen remodelling in healing myocardial infarcts

AD Rouillard, JW Holmes - The Journal of physiology, 2012 - Wiley Online Library
Key points• After myocardial infarction, fibroblasts infiltrate the necrotic myocardium, deposit
collagen, and remodel collagen, forming scar tissue.• Mechanical, structural, and chemical …

Multiple kernel multivariate performance learning using cutting plane algorithm

J Wang, H Wang, Y Zhou… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
In this paper, we propose a multi-kernel classifier learning algorithm to optimize a given
nonlinear and nonsmoonth multivariate classifier performance measure. Moreover, to solve …

A biological algorithm to solve the assignment problem based on DNA molecules computation

Z Wang, J Tan, D Huang, Y Ren, Z Ji - Applied Mathematics and …, 2014 - Elsevier
The assignment problem (AP) is to optimally solve the task of assigning n jobs to n
individuals, such that minimum cost or maximum profit can be obtained. It is a vitally …

The mouse heart attack research tool 1.0 database

KY DeLeon-Pennell, RP Iyer, Y Ma… - American Journal …, 2018 - journals.physiology.org
The generation of big data has enabled systems-level dissections into the mechanisms of
cardiovascular pathology. Integration of genetic, proteomic, and pathophysiological …

A parallel algorithm for solving the n-queens problem based on inspired computational model

Z Wang, D Huang, J Tan, T Liu, K Zhao, L Li - BioSystems, 2015 - Elsevier
DNA computing provides a promising method to solve the computationally intractable
problems. The n-queens problem is a well-known NP-hard problem, which arranges n …

Supervised cross-modal factor analysis for multiple modal data classification

J Wang, Y Zhou, K Duan, JJY Wang… - … on Systems, Man, and …, 2015 - ieeexplore.ieee.org
In this paper we study the problem of learning from multiple modal data for purpose of
document classification. In this problem, each document is composed two different modals of …

Regularized maximum correntropy machine

JJY Wang, Y Wang, BY Jing, X Gao - Neurocomputing, 2015 - Elsevier
In this paper we investigate the usage of regularized correntropy framework for learning of
classifiers from noisy labels. The class label predictors learned by minimizing transitional …

Analysis of the oil content of rapeseed using artificial neural networks based on near infrared spectral data

D Yang, H Li, C Cao, F Chen, Y Zhou… - Journal of …, 2014 - Wiley Online Library
The oil content of rapeseed is a crucial property in practical applications. In this paper,
instead of traditional analytical approaches, an artificial neural network (ANN) method was …

Representing data by sparse combination of contextual data points for classification

J Wang, Y Zhou, M Yin, S Chen, B Edwards - Advances in Neural …, 2015 - Springer
In this paper, we study the problem of using contextual data points of a data point for its
classification problem. We propose to represent a data point as the sparse linear …