[HTML][HTML] Patient similarity for precision medicine: A systematic review

E Parimbelli, S Marini, L Sacchi, R Bellazzi - Journal of biomedical …, 2018 - Elsevier
Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …

[HTML][HTML] InfiniumPurify: an R package for estimating and accounting for tumor purity in cancer methylation research

Y Qin, H Feng, M Chen, H Wu, X Zheng - Genes & diseases, 2018 - Elsevier
The proposition of cancer cells in a tumor sample, named as tumor purity, is an intrinsic
factor of tumor samples and has potentially great influence in variety of analyses including …

Discovering cancer subtypes via an accurate fusion strategy on multiple profile data

L Jiang, Y **ao, Y Ding, J Tang, F Guo - Frontiers in genetics, 2019 - frontiersin.org
Discovering cancer subtypes is useful for guiding clinical treatment of multiple cancers.
Progressive profile technologies for tissue have accumulated diverse types of data. Based …

RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression

PD Johann, N Jäger, SM Pfister, M Sill - BMC bioinformatics, 2019 - Springer
Background With the advent of array-based techniques to measure methylation levels in
primary tumor samples, systematic investigations of methylomes have widely been …

A novel single-cell based method for breast cancer prognosis

X Li, L Liu, GJ Goodall, A Schreiber, T Xu… - PLoS computational …, 2020 - journals.plos.org
Breast cancer prognosis is challenging due to the heterogeneity of the disease. Various
computational methods using bulk RNA-seq data have been proposed for breast cancer …

MethylBERT enables read-level DNA methylation pattern identification and tumour deconvolution using a Transformer-based model

Y Jeong, C Gerhäuser, G Sauter, T Schlomm… - Nature …, 2025 - nature.com
DNA methylation (DNAm) is a key epigenetic mark that shows profound alterations in
cancer. Read-level methylomes enable more in-depth analyses, due to their broad genomic …

Investigating DNA methylation of solute carrier genes in colorectal cancer: A comprehensive analysis using microarray and bioinformatics tools

NAN Zabidi, R Baharudin… - … In Microbes & …, 2023 - journals.hh-publisher.com
Colorectal cancer (CRC) is a major global health concern, with a significant impact on
morbidity and mortality. The molecular mechanisms underlying CRC, especially DNA …

Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study

MU Oner, J Chen, E Revkov, A James, SY Heng… - Patterns, 2022 - cell.com
Tumor purity is the percentage of cancer cells within a tissue section. Pathologists estimate
tumor purity to select samples for genomic analysis by manually reading hematoxylin-eosin …

Cancer diagnosis and disease gene identification via statistical machine learning

L Chen, J Li, M Chang - Current Bioinformatics, 2020 - ingentaconnect.com
Diagnosing cancer and identifying the disease gene by using DNA microarray gene
expression data are the hot topics in current bioinformatics. This paper is devoted to the …

Kernel fusion method for detecting cancer subtypes via selecting relevant expression data

S Li, L Jiang, J Tang, N Gao, F Guo - Frontiers in genetics, 2020 - frontiersin.org
Recently, cancer has been characterized as a heterogeneous disease composed of many
different subtypes. Early diagnosis of cancer subtypes is an important study of cancer …