[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 …
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 …
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 …
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 …
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 …
cardiovascular pathology. Integration of genetic, proteomic, and pathophysiological …
A parallel algorithm for solving the n-queens problem based on inspired computational model
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 …
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
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 …
document classification. In this problem, each document is composed two different modals of …
Regularized maximum correntropy machine
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 …
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
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 …
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 …
classification problem. We propose to represent a data point as the sparse linear …