AIMC Topic: Gene Expression Regulation, Neoplastic
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Convolutional neural network models for cancer type prediction based on gene expression.
BMC medical genomics
Apr 3, 2020
BACKGROUND: Precise prediction of cancer types is vital for cancer diagnosis and therapy. Through a predictive model, important cancer marker genes can be inferred. Several studies have attempted to build machine learning models for this task however...
Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations.
BMC medical genomics
Apr 3, 2020
BACKGROUND: Recent advances in kernel-based Deep Learning models have introduced a new era in medical research. Originally designed for pattern recognition and image processing, Deep Learning models are now applied to survival prognosis of cancer pat...
Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.
BioMed research international
Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Transcription Factors
Genetic Markers
Humans
DNA Methylation
Alzheimer Disease
Carrier Proteins
Mitochondrial Proteins
Machine Learning
DNA-Binding Proteins
Patients
Microfilament Proteins
Gene Expression Regulation, Neoplastic
Peptide Hydrolases
Cyclin-Dependent Kinase Inhibitor p57
Protein Tyrosine Phosphatases
Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data.
PloS one
Mar 26, 2020
Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of a given patient's state and prognosis. With the purpose of advancing to personalized medicine framework, accurate diagnoses allow prescri...
Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data.
BMC bioinformatics
Mar 11, 2020
BACKGROUND: Finding the tumor location in the prostate is an essential pathological step for prostate cancer diagnosis and treatment. The location of the tumor - the laterality - can be unilateral (the tumor is affecting one side of the prostate), or...
Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databases.
Scientific reports
Mar 10, 2020
Hepatocellular carcinoma (HCC) is a common malignant tumor in China. In the present study, we aimed to construct and verify a prediction model of recurrence in HCC patients using databases (TCGA, AMC and Inserm) and machine learning methods and obtai...
Collective effects of long-range DNA methylations predict gene expressions and estimate phenotypes in cancer.
Scientific reports
Mar 3, 2020
DNA methylation of various genomic regions has been found to be associated with gene expression in diverse biological contexts. However, most genome-wide studies have focused on the effect of (1) methylation in cis, not in trans and (2) a single CpG,...
Machine Learning and Bioinformatics Models to Identify Pathways that Mediate Influences of Welding Fumes on Cancer Progression.
Scientific reports
Feb 17, 2020
Welding generates and releases fumes that are hazardous to human health. Welding fumes (WFs) are a complex mix of metallic oxides, fluorides and silicates that can cause or exacerbate health problems in exposed individuals. In particular, WF inhalati...
Application of Machine Learning in Developing a Novelty Five-Pseudogene Signature to Predict Prognosis of Head and Neck Squamous Cell Carcinoma: A New Aspect of "Junk Genes" in Biomedical Practice.
DNA and cell biology
Feb 11, 2020
Head and neck squamous cell carcinoma (HNSCC) is the sixth malignancy, which is characterized by poor prognosis or high mortality because of the lack of predicting markers. Aberrant cancer pseudogenes have been found predictive for prognosis. We aim ...
A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival.
Breast cancer research : BCR
Jan 28, 2020
BACKGROUND: Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PAM50 assay is considered a strong prognostic feature, even when controlled for by standard clinicopathological features such as age, grade, and nodal s...
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