AIMC Topic: Gene Expression Profiling

Clear Filters Showing 1071 to 1080 of 1601 articles

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...
Gene Expression Regulation, Neoplastic Osteosarcoma Bone Neoplasms Neoplasm Proteins Gene Ontology Humans Gene Expression Profiling Gene Regulatory Networks
View on PubMed DOI

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...
Gene Expression Profiling Transcriptome Computational Biology Databases, Genetic Fuzzy Logic Humans Machine Learning Prognosis Neoplasms Principal Component Analysis
View on PubMed DOI

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...
Databases, Nucleic Acid Breast Neoplasms Gene Expression Profiling Transcriptome Gene Expression Regulation, Neoplastic Humans Neural Networks, Computer Algorithms Female
View on PubMed DOI

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....
Linear Models Software Poisson Distribution Humans Algorithms Discriminant Analysis Gene Expression Profiling Machine Learning Sequence Analysis, RNA RNA Support Vector Machine Programming Languages
View on PubMed DOI

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...
Case-Control Studies Deep Learning ROC Curve Gene Regulatory Networks Epigenesis, Genetic Epigenomics DNA Methylation Cell-Free Nucleic Acids Humans Cerebral Palsy CpG Islands Artificial Intelligence Infant, Newborn Gene Expression Profiling
View on PubMed DOI

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 Adult Radiographic Image Interpretation, Computer-Assisted Survival Rate Biomarkers, Tumor Prognosis ROC Curve Male Brain Neoplasms Female Humans Genomics Middle Aged Aged Gene Expression Regulation, Neoplastic Machine Learning Gene Expression Profiling Aged, 80 and over Magnetic Resonance Imaging Algorithms Transcriptome Young Adult Adolescent
View on PubMed DOI

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...
Fetal Alcohol Spectrum Disorders Unsupervised Machine Learning Principal Component Analysis Databases, Nucleic Acid Exons Animals Gene Expression Profiling Big Data Computational Biology Chick Embryo Ethanol Disease Models, Animal Cluster Analysis MicroRNAs Humans Pregnancy Female
View on PubMed DOI

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...
Humans Machine Learning Algorithms Kidney Transplantation Gene Expression Profiling Adolescent Cohort Studies Young Adult Prognosis Child Adult Female Follow-Up Studies T-Lymphocytes Aged Graft Rejection Male Aged, 80 and over Kidney Failure, Chronic Middle Aged Automation Isoantibodies
View on PubMed DOI

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Bayes Theorem Discriminant Analysis Humans Colonic Neoplasms Models, Statistical Oncogenes Sensitivity and Specificity Neural Networks, Computer Risk Regression Analysis Normal Distribution Tissue Array Analysis Colon Machine Learning Decision Trees Gene Expression Profiling Area Under Curve Logistic Models Support Vector Machine
View on PubMed DOI

Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms.

BMC systems biology Apr 5, 2019
BACKGROUND: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (FNAB) of thyroid nodules is challenging. Resultingly, non-cancerous Hürthle lesions were conventionally distinguished from Hürthle cell cancers by hist...
Humans Machine Learning Neoplasms Gene Expression Profiling Oxyphil Cells Genomics Mitochondria Heterozygote Sequence Analysis
View on PubMed DOI
Popular Topics
Recent Journals