Supplementary documents

NIAID Data Ecosystem2026-03-14 收录

肝细胞癌预后

溶酶体相关基因模型

数据链接：

https://zenodo.org/record/7633190 数据链接链接失效反馈

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资源简介：

Machine learning-based integration to construct prognostic models of lysosome-related genes for predicting prognosis and immune status of patients with hepatocellular carcinoma-Supplementary documents

创建时间：

2023-02-12

Table2_Development and Validation of Genome Instability-Associated lncRNAs to Predict Prognosis and Immunotherapy of Patients With Hepatocellular Carcinoma.xlsx

肝细胞癌预后

基因组不稳定性相关lncRNA

The pathophysiology of hepatocellular carcinoma (HCC) is prevalently related to genomic instability. However, research on the association of extensive genome instability lncRNA (GILnc) with the progno

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Association analysis of clinical characteristics, genotypes and haplotypes with OS and DFS of HCC patients.

肝细胞癌预后

全基因组关联分析

(ZIP)

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DataSheet2_Prognostic value of long non-coding RNA MALAT1 in hepatocellular carcinoma: A study based on multi-omics analysis and RT-PCR validation.CSV

肝细胞癌预后

非编码RNA标志物

Background: This study aimed to explore the relationship between MALAT1 and the prognosis of patients with hepatocellular carcinoma (HCC). Methods: We constructed a MALAT1 protein-protein interaction

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MOESM1 of Loss of alanine-glyoxylate and serine-pyruvate aminotransferase expression accelerated the progression of hepatocellular carcinoma and predicted poor prognosis

肝细胞癌预后

临床特征分析

Additional file 1: Table S1. Clinical characteristics of patients in HCC tissue array cohort at the time of surgery (n = 101).

Figshare2024-02-15 更新40

Additional file 2 of A robust twelve-gene signature for prognosis prediction of hepatocellular carcinoma

肝细胞癌预后

分子标记

Additional file 2: Table S1. 175 DEGs identified by integrated analysis using robust rank aggregation (RRA) method with adjPvalue

Figshare2020-06-04 更新30