AIMC Topic: Gene Expression Profiling
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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 shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data.
PloS one
May 23, 2019
BACKGROUND: Gene shaving (GS) is an essential and challenging tools for biomedical researchers due to the large number of genes in human genome and the complex nature of biological networks. Most GS methods are not applicable to non-linear and multi-...
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...
Type-2 Fuzzy PCA Approach in Extracting Salient Features for Molecular Cancer Diagnostics and Prognostics.
IEEE transactions on nanobioscience
May 20, 2019
Machine learning is becoming a powerful tool for cancer diagnosis and prognosis based on classification using high dimensional molecular data. However, extracting classification features from high-dimensional datasets remains a challenging problem. P...
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...
MLSeq: Machine learning interface for RNA-sequencing data.
Computer methods and programs in biomedicine
Apr 29, 2019
BACKGROUND AND OBJECTIVE: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since it produces less noisy data....
Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.
International journal of molecular sciences
Apr 27, 2019
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...
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.
Magnetic Resonance Imaging
Glioblastoma
Humans
Radiographic Image Interpretation, Computer-Assisted
Machine Learning
Brain Neoplasms
Male
Middle Aged
Gene Expression Profiling
ROC Curve
Aged, 80 and over
Algorithms
Adult
Transcriptome
Prognosis
Young Adult
Genomics
Adolescent
Female
Survival Rate
Gene Expression Regulation, Neoplastic
Aged
Biomarkers, Tumor
Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.
PLoS computational biology
Apr 11, 2019
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause of neurodevelopmental disability. Whole transcriptome sequencing (RNA-Seq) offer insights into mechanisms underlying FASD, but gene-level analysis pro...
Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Apr 10, 2019
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stabilit...
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