Volcano plots in analyzing differential expressions with mRNA microarrays
W Li - Journal of bioinformatics and computational biology, 2012 - World Scientific
A volcano plot displays unstandardized signal (eg log-fold-change) against noise-
adjusted/standardized signal (eg t-statistic or-log10 (p-value) from the t-test). We review the …
adjusted/standardized signal (eg t-statistic or-log10 (p-value) from the t-test). We review the …
[HTML][HTML] The era of big data: Genome-scale modelling meets machine learning
A Antonakoudis, R Barbosa, P Kotidis… - Computational and …, 2020 - Elsevier
With omics data being generated at an unprecedented rate, genome-scale modelling has
become pivotal in its organisation and analysis. However, machine learning methods have …
become pivotal in its organisation and analysis. However, machine learning methods have …
Feature selection for high-dimensional classification using a competitive swarm optimizer
When solving many machine learning problems such as classification, there exists a large
number of input features. However, not all features are relevant for solving the problem, and …
number of input features. However, not all features are relevant for solving the problem, and …
Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural network
In this article, a novel dual-channel convolutional neural network (DC-CNN) framework is
proposed for accurate spectral-spatial classification of hyperspectral image (HSI). In this …
proposed for accurate spectral-spatial classification of hyperspectral image (HSI). In this …
[图书][B] Applications of prediction models
EW Steyerberg, EW Steyerberg - 2009 - Springer
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SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …
SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …
[PDF][PDF] 深度学习在高光谱图像分类领域的研究现状与展望
张号逵， 李映， 姜晔楠 - 自动化学报, 2018 - aas.net.cn
摘要高光谱图像(Hyperspectral imagery, HSI) 分类是高光谱遥感对地观测技术的一项重要内容,
在军事及民用领域都有着重要的应用. 然而, 高光谱图像的高维特性, 波段间高度相关性 …
在军事及民用领域都有着重要的应用. 然而, 高光谱图像的高维特性, 波段间高度相关性 …
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
M Wang, Z Wei, M Jia, L Chen, H Ji - BMC medical informatics and …, 2022 - Springer
Purpose Predictively diagnosing infectious diseases helps in providing better treatment and
enhances the prevention and control of such diseases. This study uses actual data from a …
enhances the prevention and control of such diseases. This study uses actual data from a …
[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …
Extensive research has been conducted on disease classification and prediction using …
Statistical analysis and modeling of mass spectrometry-based metabolomics data
Multivariate statistical techniques are used extensively in metabolomics studies, ranging
from biomarker selection to model building and validation. Two model independent variable …
from biomarker selection to model building and validation. Two model independent variable …
Sparse approximation via penalty decomposition methods
In this paper we consider sparse approximation problems, that is, general l_0 minimization
problems with the l_0-``norm” of a vector being a part of constraints or objective function. In …
problems with the l_0-``norm” of a vector being a part of constraints or objective function. In …