Multi-cancer molecular signatures and their interrelationships [PDF]
arXiv, 2013 Although cancer is known to be characterized by several unifying biological hallmarks, systems biology has had limited success in identifying molecular signatures present in in all types of cancer. The current availability of rich data sets from many different cancer types provides an opportunity for thorough computational data mining in search of such
arxiv
EBioMedicine, 2018 Background: Hypoxia is associated with a poor prognosis in prostate cancer. This work aimed to derive and validate a hypoxia-related mRNA signature for localized prostate cancer.
Lingjian Yang +27 more
doaj
Cancer Cell International, 2018 Background Lung adenocarcinoma (LUAD) is the main subtype of non-small cell lung cancer with a low survival prognosis. We aimed to generate a prognostic model for the postoperative recurrence of LUAD. Methods The methylated DNA data of LUAD patients were
Wei-Ming Luo, Zheng-Yu Wang, Xin Zhang
doaj +1 more source
A brain signature highly predictive of future progression to Alzheimer's dementia [PDF]
arXiv, 2017 Early prognosis of Alzheimer's dementia is hard. Mild cognitive impairment (MCI) typically precedes Alzheimer's dementia, yet only a fraction of MCI individuals will progress to dementia, even when screened using biomarkers. We propose here to identify a subset of individuals who share a common brain signature highly predictive of oncoming dementia ...
arxiv
Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification [PDF]
BMC Bioinformatics 25, 92 (2024)Background: In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes. However, the wealth of genomic and proteomic data available today necessitates efficient frameworks, instruments, and computational tools for meaningful analysis.
arxiv +1 more source
A Common Gene Expression Signature Analysis Method for Multiple Types of Cancer [PDF]
2019 19th Industrial Conference on Data Mining, 2019 Mining gene expression profiles has proven valuable for identifying signatures serving as surrogates of cancer phenotypes. However, the similarities of such signatures across different cancer types have not been strong enough to conclude that they represent a universal biological mechanism shared among multiple cancer types.
arxiv
Survival prediction and risk estimation of Glioma patients using mRNA expressions [PDF]
arXiv, 2020 Gliomas are lethal type of central nervous system tumors with a poor prognosis. Recently, with the advancements in the micro-array technologies thousands of gene expression related data of glioma patients are acquired, leading for salient analysis in many aspects. Thus, genomics are been emerged into the field of prognosis analysis.
arxiv
Identifying cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data [PDF]
International Conference on Machine Learning (ICML) 2012: Workshop
on Machine Learning in Genetics and Genomics, 2013 We present a nonparametric Bayesian method for disease subtype discovery in multi-dimensional cancer data. Our method can simultaneously analyse a wide range of data types, allowing for both agreement and disagreement between their underlying clustering structure.
arxiv
Gene Expression Signature With Independent Prognostic Significance in Epithelial Ovarian Cancer [PDF]
, 2004 Dimitrios Spentzos +7 more
openalex +1 more source
Independent confirmation of a prognostic gene-expression signature in adult acute myeloid leukemia with a normal karyotype: a Cancer and Leukemia Group B study [PDF]
, 2006 Michael D. Radmacher +12 more
openalex +1 more source