AIMC Topic: Gene Expression Regulation, Neoplastic

Clear Filters Showing 391 to 400 of 589 articles

Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.

Journal of cellular and molecular medicine Apr 18, 2019
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Brain Neoplasms Male Middle Aged Gene Expression Profiling Young Adult Adult Survival Rate Biomarkers, Tumor Gene Expression Regulation, Neoplastic Magnetic Resonance Imaging Glioblastoma Radiographic Image Interpretation, Computer-Assisted Transcriptome Adolescent ROC Curve Genomics Humans Machine Learning Algorithms Prognosis Female Aged Aged, 80 and over
View on PubMed DOI

Multilayer network analysis of miRNA and protein expression profiles in breast cancer patients.

PloS one Apr 4, 2019
MiRNAs and proteins play important roles in different stages of breast tumor development and serve as biomarkers for the early diagnosis of breast cancer. A new algorithm that combines machine learning algorithms and multilayer complex network analys...
Neoplasm Proteins RNA, Neoplasm Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic MicroRNAs Machine Learning Female Breast Neoplasms Humans
View on PubMed DOI

Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting.

European journal of radiology Mar 21, 2019
PURPOSE: To develop and validate an interpretable and repeatable machine learning model approach to predict molecular subtypes of breast cancer from clinical metainformation together with mammography and MRI images.
Predictive Value of Tests Neoplasm Staging Middle Aged Gene Expression Regulation, Neoplastic Multimodal Imaging Humans Machine Learning Retrospective Studies Female Adult Breast Neoplasms
View on PubMed DOI

Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes.

Journal of cellular physiology Mar 5, 2019
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model wor...
Humans Reproducibility of Results Deep Learning Gene Expression Regulation, Neoplastic Models, Genetic Databases, Genetic Biomarkers, Tumor Gene Expression Profiling Transcriptome Case-Control Studies Interleukin-12 Subunit p35 Esophageal Neoplasms Early Detection of Cancer Cyclic AMP Response Element-Binding Protein Nerve Tissue Proteins Esophageal Squamous Cell Carcinoma Predictive Value of Tests Hepatocyte Nuclear Factor 1-beta
View on PubMed DOI

Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer.

Theoretical biology & medical modelling Dec 29, 2018
BACKGROUND: The Smad7 protein is negative regulator of the TGF-β signaling pathway, which is upregulated in patients with breast cancer. miRNAs regulate proteins expressions by arresting or degrading the mRNAs. The purpose of this work is to identify...
Humans Neural Networks, Computer Algorithms Smad7 Protein Female RNA, Messenger Breast Neoplasms Gene Expression Regulation, Neoplastic Deep Learning MicroRNAs Models, Biological
View on PubMed DOI

Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches.

Journal of integrative bioinformatics Dec 22, 2018
The advance of high-throughput RNA-Sequencing techniques enables researchers to analyze the complete gene activity in particular cells. From the insights of such analyses, researchers can identify disease-specific expression profiles, thus understand...
Computational Biology Gene Expression Regulation, Neoplastic Neoplasm Proteins Knowledge Bases Pattern Recognition, Automated Humans Algorithms Neoplasms Gene Expression Profiling
View on PubMed DOI

Identification of tissue-specific tumor biomarker using different optimization algorithms.

Genes & genomics Dec 8, 2018
BACKGROUND: Identification of differentially expressed genes, i.e., genes whose transcript abundance level differs across different biological or physiological conditions, was indeed a challenging task. However, the inception of transcriptome sequenc...
Humans Transcriptome Machine Learning Gene Expression Regulation, Neoplastic Biomarkers, Tumor Organ Specificity
View on PubMed DOI

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma.

PloS one Dec 7, 2018
We introduce the CDRP (Concatenated Diagnostic-Relapse Prognostic) architecture for multi-task deep learning that incorporates a clinical algorithm, e.g., a risk stratification schema to improve prognostic profiling. We present the first application ...
Gene Expression Profiling Neoplasm Recurrence, Local Female Humans Male Progression-Free Survival Deep Learning Algorithms Risk Assessment Neuroblastoma Child Prognosis Infant Gene Expression Regulation, Neoplastic
View on PubMed DOI

LogLoss-BERAF: An ensemble-based machine learning model for constructing highly accurate diagnostic sets of methylation sites accounting for heterogeneity in prostate cancer.

PloS one Nov 2, 2018
Although modern methods of whole genome DNA methylation analysis have a wide range of applications, they are not suitable for clinical diagnostics due to their high cost and complexity and due to the large amount of sample DNA required for the analys...
Neoplasms Prostatic Neoplasms Machine Learning CpG Islands Gene Expression Regulation, Neoplastic Algorithms Humans Models, Genetic Male DNA Methylation
View on PubMed DOI

CamurWeb: a classification software and a large knowledge base for gene expression data of cancer.

BMC bioinformatics Oct 15, 2018
BACKGROUND: The high growth of Next Generation Sequencing data currently demands new knowledge extraction methods. In particular, the RNA sequencing gene expression experimental technique stands out for case-control studies on cancer, which can be ad...
Base Sequence Genome, Human Genes, Neoplasm Neoplasms Humans Sequence Analysis, RNA Software Gene Expression Regulation, Neoplastic Knowledge Bases
View on PubMed DOI
Popular Topics
Recent Journals