AIMC Topic: Models, Genetic

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Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Cancer gene therapy May 29, 2019
Acute myeloid leukemia (AML) is a type of blood cancer characterized by the rapid growth of immature white blood cells from the bone marrow. Therapy resistance resulting from the persistence of leukemia stem cells (LSCs) are found in numerous patient...
Humans Biomarkers, Tumor Leukemia, Myeloid, Acute Support Vector Machine Neoplastic Stem Cells Feasibility Studies Gene Expression Profiling Computational Biology Models, Genetic Datasets as Topic Drug Resistance, Neoplasm Monte Carlo Method
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Method for Identifying Cancer-Related Genes Using Gene Similarity-Based Collaborative Filtering.

Journal of computational biology : a journal of computational molecular cell biology May 22, 2019
Breast Neoplasms Humans Machine Learning Biomarkers, Tumor Female RNA-Seq Models, Genetic Genes, Neoplasm
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New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.

G3 (Bethesda, Md.) May 7, 2019
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between traits with mixed phenotypes...
Genomics Genotype Genetic Association Studies Algorithms Phenotype Reproducibility of Results Deep Learning Genome, Plant Quantitative Trait, Heritable Plant Breeding Models, Genetic Selection, Genetic Genome
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Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants.

Mathematical biosciences Apr 26, 2019
It has been found that each non-coding RNA (ncRNA) can act not only through its target gene, but also interact with each other to act on biological traits, and this interaction is more common. Many studies focus mainly on the analysis of microRNA(miR...
RNA, Plant Models, Genetic RNA, Long Noncoding Gene Regulatory Networks Support Vector Machine Stress, Physiological RNA, Messenger MicroRNAs Arabidopsis
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A directed learning strategy integrating multiple omic data improves genomic prediction.

Plant biotechnology journal Apr 14, 2019
Genomic prediction (GP) aims to construct a statistical model for predicting phenotypes using genome-wide markers and is a promising strategy for accelerating molecular plant breeding. However, current progress of phenotype prediction using genomic d...
Quantitative Trait Loci Oryza Genetic Markers Supervised Machine Learning Transcriptome Phenotype Genomics Models, Genetic Polymorphism, Single Nucleotide Models, Statistical Metabolome
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GNE: a deep learning framework for gene network inference by aggregating biological information.

BMC systems biology Apr 5, 2019
BACKGROUND: The topological landscape of gene interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, it is still a challenging task to aggregate heterogeneous biological information...
Computational Biology Deep Learning Gene Regulatory Networks Models, Genetic
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Prediction of Long Non-Coding RNAs Based on Deep Learning.

Genes Apr 3, 2019
With the rapid development of high-throughput sequencing technology, a large number of transcript sequences have been discovered, and how to identify long non-coding RNAs (lncRNAs) from transcripts is a challenging task. The identification and inclus...
Deep Learning Genetic Predisposition to Disease Computational Biology RNA, Messenger Models, Genetic Humans High-Throughput Nucleotide Sequencing Algorithms RNA, Long Noncoding
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Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.

PLoS computational biology Apr 1, 2019
Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological processes and thus are closely related with many complex human diseases. The identification of potential disease-related miRNAs offers new opportunities...
Models, Genetic MicroRNAs Models, Statistical Algorithms Biomarkers, Tumor Thyroid Neoplasms Genetic Predisposition to Disease Genetic Association Studies Computational Biology Humans Machine Learning
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Identification of optimal prediction models using multi-omic data for selecting hybrid rice.

Heredity Mar 25, 2019
Genomic prediction benefits hybrid rice breeding by increasing selection intensity and accelerating breeding cycles. With the rapid advancement of technology, other omic data, such as metabolomic data and transcriptomic data, are readily available fo...
Chimera Oryza Crops, Agricultural Seeds Genomics Quantitative Trait Loci Crosses, Genetic Models, Genetic Metabolomics Quantitative Trait, Heritable Support Vector Machine Regression Analysis Plant Breeding
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Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model.

Scientific reports Mar 12, 2019
Measuring conditional relatedness between a pair of genes is a fundamental technique and still a significant challenge in computational biology. Such relatedness can be assessed by gene expression similarities while suffering high false discovery rat...
Gene Regulatory Networks Computational Biology Models, Genetic Humans Databases, Nucleic Acid Machine Learning
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