Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

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Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

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Neuroendocrine prostate cancer (NEPC) may be rising in prevalence as patients with advanced prostate cancer potentially develop resistance to contemporary anti-androgen treatment through a neuroendocrine phenotype. | Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

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Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

Gene expression anti-profiles as a basis for accurate universal cancer signatures

GOexpress: An R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data

SaVanT: A web-based tool for the samplelevel visualization of molecular signatures in gene expression profiles

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers

Evaluation of public cancer datasets and signatures identifies TP53 mutant signatures with robust prognostic and predictive value

Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases

Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

Plasticity of intestinal gene expression profile signatures reflected by nutritional interventions in piglets

Microenvironment dependent gene expression signatures in reprogrammed human colon normal and cancer cell lines

Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Đang chuẩn bị liên kết để tải về tài liệu: Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma

Gene expression anti-profiles as a basis for accurate universal cancer signatures

GOexpress: An R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data

SaVanT: A web-based tool for the samplelevel visualization of molecular signatures in gene expression profiles

Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers

Evaluation of public cancer datasets and signatures identifies TP53 mutant signatures with robust prognostic and predictive value

Characterization of molecular scores and gene expression signatures in primary breast cancer, local recurrences and brain metastases

Construction and optimization of gene expression signatures for prediction of survival in two-arm clinical trials

Plasticity of intestinal gene expression profile signatures reflected by nutritional interventions in piglets

Microenvironment dependent gene expression signatures in reprogrammed human colon normal and cancer cell lines

Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

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Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma