Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection

JC Ang, A Mirzal, H Haron… - IEEE/ACM transactions …, 2015 - ieeexplore.ieee.org
Recently, feature selection and dimensionality reduction have become fundamental tools for
many data mining tasks, especially for processing high-dimensional data such as gene …

Comprehensive literature review and statistical considerations for microarray meta-analysis

GC Tseng, D Ghosh, E Feingold - Nucleic acids research, 2012 - academic.oup.com
With the rapid advances of various high-throughput technologies, generation of '-omics' data
is commonplace in almost every biomedical field. Effective data management and analytical …

Genomic landscape of lung adenocarcinoma in East Asians

J Chen, H Yang, ASM Teo, LB Amer, FG Sherbaf… - Nature …, 2020 - nature.com
Lung cancer is the world's leading cause of cancer death and shows strong ancestry
disparities. By sequencing and assembling a large genomic and transcriptomic dataset of …

Multi-stage differentiation defines melanoma subtypes with differential vulnerability to drug-induced iron-dependent oxidative stress

J Tsoi, L Robert, K Paraiso, C Galvan, KM Sheu, J Lay… - Cancer cell, 2018 - cell.com
Malignant transformation can result in melanoma cells that resemble different stages of their
embryonic development. Our gene expression analysis of human melanoma cell lines and …

The cuproptosis-related signature associated with the tumor environment and prognosis of patients with glioma

W Wang, Z Lu, M Wang, Z Liu, B Wu, C Yang… - Frontiers in …, 2022 - frontiersin.org
Background Copper ions are essential for cellular physiology. Cuproptosis is a novel
method of copper-dependent cell death, and the cuproptosis-based signature for glioma …

Machine learning-based identification of tumor-infiltrating immune cell-associated lncRNAs for improving outcomes and immunotherapy responses in patients with low …

N Zhang, H Zhang, W Wu, R Zhou, S Li, Z Wang… - …, 2022 - pmc.ncbi.nlm.nih.gov
Rationale: Accumulating evidence demonstrated that long noncoding RNAs (lncRNAs)
involved in the regulation of the immune system and displayed a cell-type-specific pattern in …

Machine learning-based tumor-infiltrating immune cell-associated lncRNAs for predicting prognosis and immunotherapy response in patients with glioblastoma

H Zhang, N Zhang, W Wu, R Zhou, S Li… - Briefings in …, 2022 - academic.oup.com
Long noncoding ribonucleic acids (RNAs; lncRNAs) have been associated with cancer
immunity regulation. However, the roles of immune cell-specific lncRNAs in glioblastoma …

Common molecular subtypes among Asian hepatocellular carcinoma and cholangiocarcinoma

J Chaisaingmongkol, A Budhu, H Dang… - Cancer cell, 2017 - cell.com
Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are clinically
disparate primary liver cancers with etiological and biological heterogeneity. We identified …

Stromal contribution to the colorectal cancer transcriptome

C Isella, A Terrasi, SE Bellomo, C Petti, G Galatola… - Nature …, 2015 - nature.com
Recent studies identified a poor-prognosis stem/serrated/mesenchymal (SSM)
transcriptional subtype of colorectal cancer (CRC). We noted that genes upregulated in this …

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy …

Z Wang, Y Wang, T Yang, H **ng, Y Wang… - Briefings in …, 2021 - academic.oup.com
Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely
limited treatment options. Immunotherapy has been widely studied in GBM, but none can …