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Regularized machine learning in the genetic prediction of complex traits
Compared to univariate analysis of genome-wide association (GWA) studies, machine
learning–based models have been shown to provide improved means of learning such …
learning–based models have been shown to provide improved means of learning such …
The prediction of radiotherapy toxicity using single nucleotide polymorphism− based models: a step toward prevention
Radiotherapy is a mainstay of cancer treatment, used in either a curative or palliative
manner to treat approximately 50% of patients with cancer. Normal tissue toxicity limits the …
manner to treat approximately 50% of patients with cancer. Normal tissue toxicity limits the …
Integrative random forest for gene regulatory network inference
Motivation: Gene regulatory network (GRN) inference based on genomic data is one of the
most actively pursued computational biological problems. Because different types of …
most actively pursued computational biological problems. Because different types of …
Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies
The standard approach to the analysis of genome-wide association studies (GWAS) is
based on testing each position in the genome individually for statistical significance of its …
based on testing each position in the genome individually for statistical significance of its …
Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes
JH Oh, S Kerns, H Ostrer, SN Powell, B Rosenstein… - Scientific reports, 2017 - nature.com
The biological cause of clinically observed variability of normal tissue damage following
radiotherapy is poorly understood. We hypothesized that machine/statistical learning …
radiotherapy is poorly understood. We hypothesized that machine/statistical learning …
Deep learning framework for complex disease risk prediction using genomic variations
Genome-wide association studies have proven their ability to improve human health
outcomes by identifying genotypes associated with phenotypes. Various works have …
outcomes by identifying genotypes associated with phenotypes. Various works have …
Genetic architecture associated with familial short stature
Context Human height is an inheritable, polygenic trait under complex and multilocus
genetic regulation. Familial short stature (FSS; also called genetic short stature) is the most …
genetic regulation. Familial short stature (FSS; also called genetic short stature) is the most …
Toward a molecular approach to chronotype assessment
A Biscontin, L Zarantonello, A Russo… - Journal of biological …, 2022 - journals.sagepub.com
The aim of the present study was to develop a Polygenic Score–based model for molecular
chronotype assessment. Questionnaire-based phenotypical chronotype assessment was …
chronotype assessment. Questionnaire-based phenotypical chronotype assessment was …
SNPs-based hypertension disease detection via machine learning techniques
Machine learning and data mining techniques have recently gained more popularity in the
field of Medical diagnosis, especially for the analysis of the human genome. One of the most …
field of Medical diagnosis, especially for the analysis of the human genome. One of the most …
Genome-enabled predictions for binomial traits in sugar beet populations
Background Genomic information can be used to predict not only continuous but also
categorical (eg binomial) traits. Several traits of interest in human medicine and agriculture …
categorical (eg binomial) traits. Several traits of interest in human medicine and agriculture …