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[HTML][HTML] Patient similarity for precision medicine: A systematic review
Evidence-based medicine is the most prevalent paradigm adopted by physicians. Clinical
practice guidelines typically define a set of recommendations together with eligibility criteria …
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
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 …
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
Discovering cancer subtypes is useful for guiding clinical treatment of multiple cancers.
Progressive profile technologies for tissue have accumulated diverse types of data. Based …
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
Background With the advent of array-based techniques to measure methylation levels in
primary tumor samples, systematic investigations of methylomes have widely been …
primary tumor samples, systematic investigations of methylomes have widely been …
A novel single-cell based method for breast cancer prognosis
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
different subtypes. Early diagnosis of cancer subtypes is an important study of cancer …