Machine learning in epigenomics: Insights into cancer biology and medicine

E Arslan, J Schulz, K Rai - Biochimica et Biophysica Acta (BBA)-Reviews …, 2021 - Elsevier
The recent deluge of genome-wide technologies for the mapping of the epigenome and
resulting data in cancer samples has provided the opportunity for gaining insights into and …

Integrating the multiple dimensions of genomic and epigenomic landscapes of cancer

R Chari, KL Thu, IM Wilson, WW Lockwood… - Cancer and Metastasis …, 2010 - Springer
Advances in high-throughput, genome-wide profiling technologies have allowed for an
unprecedented view of the cancer genome landscape. Specifically, high-density microarrays …

Integrative analysis of the cancer transcriptome

DR Rhodes, AM Chinnaiyan - Nature genetics, 2005 - nature.com
DNA microarrays have been widely applied to the study of human cancer, delineating
myriad molecular subtypes of cancer, many of which are associated with distinct biological …

Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Estimating gene expression from high-dimensional DNA methylation levels in cancer data: A bimodal unsupervised dimension reduction algorithm

H Damgacioglu, E Celik, N Celik - Computers & Industrial Engineering, 2019 - Elsevier
Recent molecular and genetic studies have revealed the importance of DNA methylation, a
key epigenetic mark, in regulating gene expression and the abnormal profiles of DNA …

Multi-omics and deep learning provide a multifaceted view of cancer

B Uyar, J Ronen, V Franke, G Gargiulo, A Akalin - bioRxiv, 2021 - biorxiv.org
Cancer is a complex disease with a large financial and healthcare burden on society. One
hallmark of the disease is the uncontrolled growth and proliferation of malignant cells. Unlike …

[图书][B] Methods for cancer epigenome analysis

RP Nagarajan, SD Fouse, RJA Bell, JF Costello - 2013 - Springer
Accurate detection of epimutations in tumor cells is crucial for understanding the molecular
pathogenesis of cancer. Alterations in DNA methylation in cancer are functionally important …

Epigenetic regulation of gene expression in cancer: techniques, resources and analysis

LT Kagohara, GL Stein-O'Brien, D Kelley… - Briefings in …, 2018 - academic.oup.com
Cancer is a complex disease, driven by aberrant activity in numerous signaling pathways in
even individual malignant cells. Epigenetic changes are critical mediators of these functional …

An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer

R Chari, BP Coe, EA Vucic, WW Lockwood… - BMC systems …, 2010 - Springer
Background Genomics has substantially changed our approach to cancer research. Gene
expression profiling, for example, has been utilized to delineate subtypes of cancer, and …

Expanding the computational toolbox for mining cancer genomes

L Ding, MC Wendl, JF McMichael… - Nature Reviews …, 2014 - nature.com
High-throughput DNA sequencing has revolutionized the study of cancer genomics with
numerous discoveries that are relevant to cancer diagnosis and treatment. The latest …