AIMC Topic: Gene Expression Regulation, Neoplastic

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Assessment of risk based on variant pathways and establishment of an artificial neural network model of thyroid cancer.

BMC medical genetics May 28, 2019
BACKGROUND: This study aimed to establish an artificial neural network (ANN) model based on variant pathways to predict the risk of thyroid cancer.
Gene Regulatory Networks Gene Expression Regulation, Neoplastic Signal Transduction Cluster Analysis Humans Neural Networks, Computer Risk Factors Biomarkers, Tumor Gene Expression Profiling Thyroid Neoplasms
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Robust identification of molecular phenotypes using semi-supervised learning.

BMC bioinformatics May 28, 2019
BACKGROUND: Modern molecular profiling techniques are yielding vast amounts of data from patient samples that could be utilized with machine learning methods to provide important biological insights and improvements in patient outcomes. Unsupervised ...
Humans Algorithms Phenotype Prognosis Lymphoma Supervised Machine Learning Disease-Free Survival Databases as Topic Female Breast Neoplasms RNA, Messenger Gene Expression Regulation, Neoplastic Chemotherapy, Adjuvant
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Screening of disorders associated with osteosarcoma by integrated network analysis.

Bioscience reports May 21, 2019
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. However, research on the pathogenesis and treatment of osteosarcoma is still insufficient. In the present study, based on gene-phenotype correlation networ...
Osteosarcoma Bone Neoplasms Neoplasm Proteins Gene Ontology Humans Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic
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Attention-Based Multi-NMF Deep Neural Network with Multimodality Data for Breast Cancer Prognosis Model.

BioMed research international May 13, 2019
Today, it has become a hot issue in cancer research to make precise prognostic prediction for breast cancer patients, which can not only effectively avoid overtreatment and medical resources waste, but also provide scientific basis to help medical st...
Gene Expression Regulation, Neoplastic Databases, Nucleic Acid Humans Female Neural Networks, Computer Breast Neoplasms Algorithms Gene Expression Profiling Transcriptome
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Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm.

Computers in biology and medicine May 3, 2019
Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associated with shape features. In this study, we propose a fully automatic way to quantify tumor imaging characteristics using deep learning-based segmentati...
Models, Biological Base Sequence Genome, Human DNA, Neoplasm Chromosome Deletion RNA, Neoplasm Chromosomes, Human, Pair 1 Chromosomes, Human, Pair 19 Gene Expression Regulation, Neoplastic Glioma DNA Methylation Humans MicroRNAs Deep Learning Image Processing, Computer-Assisted
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Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms.

International journal of molecular sciences May 2, 2019
Small nucleolar RNAs (snoRNAs) are a new type of functional small RNAs involved in the chemical modifications of rRNAs, tRNAs, and small nuclear RNAs. It is reported that they play important roles in tumorigenesis via various regulatory modes. snoRNA...
Gene Expression Regulation, Neoplastic Support Vector Machine Monte Carlo Method RNA, Small Nucleolar Humans Machine Learning Algorithms Neoplasms
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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.
Glioblastoma Radiographic Image Interpretation, Computer-Assisted ROC Curve Genomics Gene Expression Regulation, Neoplastic Gene Expression Profiling Aged, 80 and over Magnetic Resonance Imaging Transcriptome Young Adult Adolescent Adult Survival Rate Algorithms Biomarkers, Tumor Prognosis Humans Brain Neoplasms Female Machine Learning Male Aged Middle Aged
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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...
Humans Gene Expression Regulation, Neoplastic Female Machine Learning MicroRNAs Breast Neoplasms Neoplasm Proteins Gene Expression Profiling RNA, Neoplasm Gene Regulatory Networks
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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.
Humans Machine Learning Retrospective Studies Female Multimodal Imaging Adult Predictive Value of Tests Breast Neoplasms Neoplasm Staging Middle Aged Gene Expression Regulation, Neoplastic
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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 Models, Genetic Hepatocyte Nuclear Factor 1-beta Transcriptome Reproducibility of Results Databases, Genetic Interleukin-12 Subunit p35 Predictive Value of Tests Biomarkers, Tumor Early Detection of Cancer Case-Control Studies Esophageal Neoplasms Gene Expression Profiling Nerve Tissue Proteins Deep Learning Cyclic AMP Response Element-Binding Protein Gene Expression Regulation, Neoplastic Esophageal Squamous Cell Carcinoma
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