AIMC Topic: Transcriptome

Clear Filters Showing 671 to 680 of 928 articles

Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering.

IEEE/ACM transactions on computational biology and bioinformatics Aug 7, 2018
Transcriptome in brain plays a crucial role in understanding the cortical organization and the development of brain structure and function. Two challenges, incomplete data and high dimensionality of transcriptome, remain unsolved. Here, we present a ...
Neural Networks, Computer Brain Animals Computational Biology Cluster Analysis Gene Expression Profiling Atlases as Topic Transcriptome Image Processing, Computer-Assisted In Situ Hybridization Mice
View on PubMed DOI

Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma.

Computers in biology and medicine Jun 28, 2018
Papillary Renal Cell Carcinoma (PRCC) is a heterogeneous disease with variations in disease progression and clinical outcomes. The advent of next generation sequencing techniques (NGS) has generated data from patients that can be analysed to develop ...
Carcinoma, Renal Cell Machine Learning Female Predictive Value of Tests Male Disease Progression Models, Biological Humans Kidney Neoplasms Transcriptome Sequence Analysis, RNA Gene Expression Regulation, Neoplastic
View on PubMed DOI

Machine learning identifies a core gene set predictive of acquired resistance to EGFR tyrosine kinase inhibitor.

Journal of cancer research and clinical oncology May 25, 2018
PURPOSE: Acquired resistance (AR) to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is a major issue worldwide, for both patients and healthcare providers. However, precise prediction is currently infeasible due to the lack o...
Machine Learning Algorithms Reproducibility of Results Neoplasms Humans Drug Resistance, Neoplasm ErbB Receptors Protein Kinase Inhibitors Transcriptome Cell Line, Tumor Models, Genetic
View on PubMed DOI

Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency.

JCI insight Apr 5, 2018
BACKGROUND: The effect of gene expression data on diagnosis remains limited. Here, we show how diagnosis and classification of growth hormone deficiency (GHD) can be achieved from a single blood sample using a combination of transcriptomics and rando...
Gene Regulatory Networks Polymorphism, Single Nucleotide Predictive Value of Tests Principal Component Analysis Child, Preschool Child ROC Curve Healthy Volunteers Datasets as Topic Severity of Illness Index Gene Expression Profiling Transcriptome Case-Control Studies Adolescent Human Growth Hormone Growth Disorders Machine Learning Biomarkers Female Male Humans
View on PubMed DOI

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Apr 4, 2018
The emergence of deep learning has impacted numerous machine learning based applications and research. The reason for its success lies in two main advantages: 1) it provides the ability to learn very complex non-linear relationships between features ...
Pattern Recognition, Automated Gene Expression Regulation Humans Computational Biology Software Models, Statistical Transcriptome Neural Networks, Computer Algorithms Area Under Curve Diagnosis, Computer-Assisted Neoplasms Linear Models Deep Learning Gene Expression Profiling Genomics
View on PubMed DOI

A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.

BMC bioinformatics Mar 27, 2018
BACKGROUND: Testing predefined gene categories has become a common practice for scientists analyzing high throughput transcriptome data. A systematic way of testing gene categories leads to testing hundreds of null hypotheses that correspond to nodes...
Transcriptome ROC Curve Models, Genetic Models, Theoretical Bayes Theorem Markov Chains Gene Ontology Humans Algorithms Computer Simulation Quantitative Trait Loci
View on PubMed DOI

2D-EM clustering approach for high-dimensional data through folding feature vectors.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Clustering methods are becoming widely utilized in biomedical research where the volume and complexity of data is rapidly increasing. Unsupervised clustering of patient information can reveal distinct phenotype groups with different under...
Cluster Analysis Humans Algorithms Transcriptome
View on PubMed DOI

Unsupervised Network Analysis of the Plastic Supraoptic Nucleus Transcriptome Predicts Caprin2 Regulatory Interactions.

eNeuro Dec 21, 2017
The supraoptic nucleus (SON) is a group of neurons in the hypothalamus responsible for the synthesis and secretion of the peptide hormones vasopressin and oxytocin. Following physiological cues, such as dehydration, salt-loading and lactation, the SO...
PC12 Cells Transcriptome Supraoptic Nucleus Data Mining RNA, Messenger Female Gene Expression Regulation RNA-Binding Proteins Real-Time Polymerase Chain Reaction Animals Microarray Analysis Rats Computational Biology Male Unsupervised Machine Learning
View on PubMed DOI

Identification of human circadian genes based on time course gene expression profiles by using a deep learning method.

Biochimica et biophysica acta. Molecular basis of disease Dec 12, 2017
Circadian genes express periodically in an approximate 24-h period and the identification and study of these genes can provide deep understanding of the circadian control which plays significant roles in human health. Although many circadian gene ide...
Humans Machine Learning Gene Expression Profiling Circadian Rhythm Transcriptome Databases, Genetic
View on PubMed DOI

Distinguishing three subtypes of hematopoietic cells based on gene expression profiles using a support vector machine.

Biochimica et biophysica acta. Molecular basis of disease Dec 12, 2017
Hematopoiesis is a complicated process involving a series of biological sub-processes that lead to the formation of various blood components. A widely accepted model of early hematopoiesis proceeds from long-term hematopoietic stem cells (LT-HSCs) to...
Hematopoietic Stem Cells Support Vector Machine Databases, Genetic Gene Expression Regulation Humans Gene Expression Profiling Transcriptome
View on PubMed DOI
Popular Topics
Recent Journals