[HTML][HTML] Identifying common transcriptome signatures of cancer by interpreting deep learning models
… naive searches for common cancer transcriptome signatures, we sought to train interpretable
deep learning models capable of distinguishing between normal and cancer samples. We …
deep learning models capable of distinguishing between normal and cancer samples. We …
An overview of mutational and copy number signatures in human cancer
… that mutational signatures of small mutational events have provided in basic science, cancer
treatment, and cancer prevention, and we emphasise the future role that CN signatures may …
treatment, and cancer prevention, and we emphasise the future role that CN signatures may …
[HTML][HTML] A Prognostic Microenvironment-Related Immune Signature via ESTIMATE (PROMISE Model) Predicts Overall Survival of Patients With Glioma
H Qiu, Y Li, S Cheng, J Li, C He, J Li - Frontiers in oncology, 2020 - frontiersin.org
… To our best knowledge, the PROMISE model in the present study has been the first prognostic
signature derived from systematic profiling of immune microenvironment via ESTIMATE …
signature derived from systematic profiling of immune microenvironment via ESTIMATE …
[HTML][HTML] Prognostic cancer gene expression signatures: current status and challenges
… of using archived specimens, including Formalin-Fixed Paraffin-Embedded (FFPE) samples,
in microarray … Most HCC gene signatures are derived from tumor liver tissues, but some are …
in microarray … Most HCC gene signatures are derived from tumor liver tissues, but some are …
Gene expression signatures: A tool for analysis of breast cancer prognosis and therapy
… signature is a 76 gene signature derived through microarray analysis of 115 breast cancers
(… It is used to predict the prognosis of ER positive as well as ER negative cancers. This 76-…
(… It is used to predict the prognosis of ER positive as well as ER negative cancers. This 76-…
The clinical relevance of gene expression based prognostic signatures in colorectal cancer
… with microarray and RNA-sequencing expression data of multiple cancers through TCGA …
Multiple studies have found several gene expression signatures using these databases [41,…
Multiple studies have found several gene expression signatures using these databases [41,…
[HTML][HTML] Comprehensive analysis of a nine-gene signature related to tumor microenvironment in lung adenocarcinoma
… analysis suggested that the prognostic risk model could be an independent prognostic
factor for LUAD patients. A nomogram that incorporated the signature and clinical features was …
factor for LUAD patients. A nomogram that incorporated the signature and clinical features was …
[HTML][HTML] MicroRNA: A signature for cancer progression
… oncogenic pathways in cancer. Here, we discuss several circulating miRNA signatures,
their expression profiles in different types of cancer and their impacts on cellular processes. …
their expression profiles in different types of cancer and their impacts on cellular processes. …
[HTML][HTML] Classification of breast cancer using microarray gene expression data: A survey
… of cancer in order to increase the likelihood of cure. Among the available tools for diagnosing
cancer, microarray technology has been proven to be effective. Microarray technology …
cancer, microarray technology has been proven to be effective. Microarray technology …
[HTML][HTML] Transcriptomics and Epigenomics in head and neck cancer: available repositories and molecular signatures
MS Serafini, L Lopez-Perez, G Fico, L Licitra… - Cancers of the head & …, 2020 - Springer
… solution when hundreds of samples are profiled for thousands of genes as microarray/RNAseq
and a number of studies on different cancer types proved its robustness [18, 19]. As an …
and a number of studies on different cancer types proved its robustness [18, 19]. As an …