[HTML][HTML] A novel cuproptosis-related prognostic gene signature and validation of differential expression in clear cell renal cell carcinoma
Z Bian, R Fan, L Xie - Genes, 2022 - mdpi.com
Clear cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal cell
carcinoma, which is characterized by metabolic reprogramming. Cuproptosis, a novel form …
carcinoma, which is characterized by metabolic reprogramming. Cuproptosis, a novel form …
Performance of a machine learning algorithm using electronic health record data to identify and estimate survival in a longitudinal cohort of patients with lung cancer
Importance Electronic health records (EHRs) provide a low-cost means of accessing
detailed longitudinal clinical data for large populations. A lung cancer cohort assembled …
detailed longitudinal clinical data for large populations. A lung cancer cohort assembled …
[HTML][HTML] APOLLO: an accurate and independently validated prediction model of lower-grade gliomas overall survival and a comparative study of model performance
Background Virtually few accurate and robust prediction models of lower-grade gliomas
(LGG) survival exist that may aid physicians in making clinical decisions. We aimed to …
(LGG) survival exist that may aid physicians in making clinical decisions. We aimed to …
[HTML][HTML] ARTEMIS: An independently validated prognostic prediction model of breast cancer incorporating epigenetic biomarkers with main effects and gene-gene …
M Xue, Z Xu, X Wang, J Chen, X Kong, S Zhou… - Journal of Advanced …, 2024 - Elsevier
Introduction Breast cancer, a heterogeneous disease, is influenced by multiple genetic and
epigenetic factors. The majority of prognostic models for breast cancer focus merely on the …
epigenetic factors. The majority of prognostic models for breast cancer focus merely on the …
[HTML][HTML] A large-scale genome-wide gene-gene interaction study of lung cancer susceptibility in Europeans with a trans-ethnic validation in Asians
Introduction Although genome-wide association studies have been conducted to investigate
genetic variation of lung tumorigenesis, little is known about gene-gene (G× G) interactions …
genetic variation of lung tumorigenesis, little is known about gene-gene (G× G) interactions …
[HTML][HTML] Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients
S Verma, G Magazzu, N Eftekhari, T Lou, A Gilhespy… - Cell reports …, 2024 - cell.com
Deep-learning tools that extract prognostic factors derived from multi-omics data have
recently contributed to individualized predictions of survival outcomes. However, the limited …
recently contributed to individualized predictions of survival outcomes. However, the limited …
[HTML][HTML] Construction and validation of cuproptosis-related lncRNA prediction signature for bladder cancer and immune infiltration analysis
H Li, H Jiang, Z Huang, Z Chen, N Chen - Aging (Albany NY), 2023 - ncbi.nlm.nih.gov
Bladder cancer (BC) is a common urologic tumor with a high recurrence rate. Cuproptosis
and long noncoding RNAs (lncRNAs) have demonstrated essential roles in the …
and long noncoding RNAs (lncRNAs) have demonstrated essential roles in the …
[HTML][HTML] Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study
HC Tan, LJ Zeng, SJ Yang, LS Hou, JH Wu, XH Cai… - Scientific Reports, 2024 - nature.com
This study aimed to develop a deep learning model to predict the risk stratification of all-
cause death for older people with disability, providing guidance for long-term care plans …
cause death for older people with disability, providing guidance for long-term care plans …
[HTML][HTML] Combined consideration of tumor-associated immune cell density and immune checkpoint expression in the peritumoral microenvironment for prognostic …
Y Yang, X Yang, Y Wang, J Xu, H Shen, H Gou… - Frontiers in …, 2022 - frontiersin.org
Given the complexity and highly heterogeneous nature of the microenvironment and its
effects on antitumor immunity and cancer immune evasion, the prognostic value of a single …
effects on antitumor immunity and cancer immune evasion, the prognostic value of a single …
Progressively Helical Multi-Omics Data Fusion GCN and Its Application in Lung Adenocarcinoma
J Zhu, J Zhang, L Wang, H Huang, Z Zhang… - IEEE …, 2023 - ieeexplore.ieee.org
Compared to single-omics data, utilizing multi-omics data helps to gain a more
comprehensive understanding of the occurrence and development of cancer, which …
comprehensive understanding of the occurrence and development of cancer, which …