Supplemental data for the paper titled "An unsupervised deep learning framework with variational autoencoders for genome-wide DNA methylation analysis and biologic feature extraction applied to breast cancer"</p
DNA methylation profiling exploits microarray technologies, thus yielding a wealth of high-volume da...
Abstract Background DNA Methylation is one of the most important epigenetic processes that are cruci...
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung c...
Supplemental data for the paper titled "An unsupervised deep learning framework with variational aut...
DNA methylation is a process that can affect gene accessibility and therefore gene expression. In th...
The hypo- or hyper-methylation of the human genome is one of the epigenetic features of leukemia. Ho...
Color poster with text, images, charts, and graphs.Current tools used to gather DNA methylation data...
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung c...
DeepMethylation: A deep learning based framework with GloVe and Transformer encoder for DNA methylat...
We propose a reference feature extractor that can be used for methylation data and potentially other...
Artificial intelligence-based unsupervised deep learning (DL) is widely used to mine multimodal big ...
Transformer-based language models are successfully used to address massive text-related tasks. DNA m...
Abstract Background Determination of genome-wide DNA methylation is significant for both basic resea...
The modern technology of DNA microarrays has made high-dimensional genomic data available for large-...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
DNA methylation profiling exploits microarray technologies, thus yielding a wealth of high-volume da...
Abstract Background DNA Methylation is one of the most important epigenetic processes that are cruci...
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung c...
Supplemental data for the paper titled "An unsupervised deep learning framework with variational aut...
DNA methylation is a process that can affect gene accessibility and therefore gene expression. In th...
The hypo- or hyper-methylation of the human genome is one of the epigenetic features of leukemia. Ho...
Color poster with text, images, charts, and graphs.Current tools used to gather DNA methylation data...
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung c...
DeepMethylation: A deep learning based framework with GloVe and Transformer encoder for DNA methylat...
We propose a reference feature extractor that can be used for methylation data and potentially other...
Artificial intelligence-based unsupervised deep learning (DL) is widely used to mine multimodal big ...
Transformer-based language models are successfully used to address massive text-related tasks. DNA m...
Abstract Background Determination of genome-wide DNA methylation is significant for both basic resea...
The modern technology of DNA microarrays has made high-dimensional genomic data available for large-...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
DNA methylation profiling exploits microarray technologies, thus yielding a wealth of high-volume da...
Abstract Background DNA Methylation is one of the most important epigenetic processes that are cruci...
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung c...