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A multimodal graph neural network framework for cancer molecular subtype classification
BackgroundThe recent development of high-throughput sequencing has created a large collection of multi-omics data, which enables researchers to...
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meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles
BackgroundIdentification of the cancer subtype plays a crucial role to provide an accurate diagnosis and proper treatment to improve the clinical...
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moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks
BackgroundBreast cancer is a highly heterogeneous disease that comprises multiple biological components. Owing its diversity, patients have different...
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Deep learning approach for cancer subtype classification using high-dimensional gene expression data
MotivationStudies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and...
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ForestSubtype: a cancer subtype identifying approach based on high-dimensional genomic data and a parallel random forest
BackgroundCancer subtype classification is helpful for personalized cancer treatment. Although, some approaches have been developed to classifying...
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Subtype-specific network organization of molecular complexes in breast cancer
Breast cancer, a leading cause of death in women, is a complex heterogeneous disease comprising multiple molecular subtypes with different treatment...
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Machine learning-identified stemness features and constructed stemness-related subtype with prognosis, chemotherapy, and immunotherapy responses for non-small cell lung cancer patients
AimThis study aimed to explore a novel subtype classification method based on the stemness characteristics of patients with non-small cell lung...
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Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
BackgroundCancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying...
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Hierarchical classification-based pan-cancer methylation analysis to classify primary cancer
Hierarchical classification offers a more specific categorization of data and breaks down large classification problems into subproblems, providing...
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Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification
BackgroundIn recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes....
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Transcriptome profiling and network enrichment analyses identify subtype-specific therapeutic gene targets for breast cancer and their microRNA regulatory networks
Previous studies have suggested that breast cancer (BC) from the Middle East and North Africa (MENA) is presented at younger age with advanced tumor...
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SR9009 inhibits lethal prostate cancer subtype 1 by regulating the LXRα/FOXM1 pathway independently of REV-ERBs
Perturbations of the circadian clock are linked to multiple diseases, including cancers. Pharmacological activation of REV-ERB nuclear receptors, the...
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Significance of methylation-related genes in diagnosis and subtype classification of renal interstitial fibrosis
BackgroundRNA methylation modifications, such as N1-methyladenosine/N6-methyladenosine /N5-methylcytosine (m 1 A/m 6 A/m 5 C), are the most common RNA...
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Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning
BackgroundCancer molecular subty** plays a critical role in individualized patient treatment. In previous studies, high-throughput gene expression...
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Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
BackgroundMicroarray data have been widely utilized for cancer classification. The main characteristic of microarray data is “large p and small n” in...
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The significance of m6A RNA methylation regulators in diagnosis and subtype classification of HBV-related hepatocellular carcinoma
In recent years, abnormal m6A alteration in hepatocellular carcinoma (HCC) has been a focus on investigating the biological implications. In this...
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Pathway-based classification of glioblastoma uncovers a mitochondrial subtype with therapeutic vulnerabilities
The transcriptomic classification of glioblastoma (GBM) has failed to predict survival and therapeutic vulnerabilities. A computational approach for...
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TNF-α-producing macrophages determine subtype identity and prognosis via AP1 enhancer reprogramming in pancreatic cancer
Large-scale genomic profiling of pancreatic cancer (PDAC) has revealed two distinct subtypes: ‘classical’ and ‘basal-like’. Their variable...
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Refining colorectal cancer classification and clinical stratification through a single-cell atlas
BackgroundColorectal cancer (CRC) consensus molecular subtypes (CMS) have different immunological, stromal cell, and clinicopathological...
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A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data
BackgroundCorrectly classifying the subtypes of cancer is of great significance for the in-depth study of cancer pathogenesis and the realization of...
