Cancer prognosis prediction using somatic point mutation and copy number variation data: A comparison of gene‑level and pathway‑based models

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Cancer prognosis prediction using somatic point mutation and copy number variation data: A comparison of gene‑level and pathway‑based models

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Genomic profling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. |

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Cancer prognosis prediction using somatic point mutation and copy number variation data: A comparison of gene‑level and pathway‑based models

Genomic profling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. |

Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction

Comparison of pathway and gene-level models for cancer prognosis prediction

A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies

A stable gene set for prediction of prognosis and efficacy of chemotherapy in gastric cancer

The genetic landscape of pancreatic head ductal adenocarcinoma in China and prognosis stratification

A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer

A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma

Plasma HER2ECD a promising test for patient prognosis and prediction of response in HER2 positive breast cancer: Results of a randomized study - SAKK 22/99

Prognostic implication and functional exploration for microRNA-20a as a molecular biomarker of gastrointestinal cancer

A modified TNM staging system for nonmetastatic colorectal cancer based on nomogram analysis of SEER database

Đang chuẩn bị liên kết để tải về tài liệu: Cancer prognosis prediction using somatic point mutation and copy number variation data: A comparison of gene‑level and pathway‑based models

Genomic profling of solid human tumors by projects such as The Cancer Genome Atlas (TCGA) has provided important information regarding the somatic alterations that drive cancer progression and patient survival. |

Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis prediction

Comparison of pathway and gene-level models for cancer prognosis prediction

A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies

A stable gene set for prediction of prognosis and efficacy of chemotherapy in gastric cancer

The genetic landscape of pancreatic head ductal adenocarcinoma in China and prognosis stratification

A novel ferroptosis-related lncRNA signature for prognosis prediction in gastric cancer

A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma

Plasma HER2ECD a promising test for patient prognosis and prediction of response in HER2 positive breast cancer: Results of a randomized study - SAKK 22/99

Prognostic implication and functional exploration for microRNA-20a as a molecular biomarker of gastrointestinal cancer

A modified TNM staging system for nonmetastatic colorectal cancer based on nomogram analysis of SEER database

Đang chuẩn bị liên kết để tải về tài liệu:
Cancer prognosis prediction using somatic point mutation and copy number variation data: A comparison of gene‑level and pathway‑based models