What makes a good prediction? Feature importance and beginning to open the black box of machine learning in genetics
AM Musolf, ER Holzinger, JD Malley, JE Bailey-Wilson - Human Genetics, 2022 - Springer
Genetic data have become increasingly complex within the past decade, leading
researchers to pursue increasingly complex questions, such as those involving epistatic …
researchers to pursue increasingly complex questions, such as those involving epistatic …
Revisiting genome-wide association studies from statistical modelling to machine learning
Over the last decade, genome-wide association studies (GWAS) have discovered thousands
of genetic variants underlying complex human diseases and agriculturally important traits …
of genetic variants underlying complex human diseases and agriculturally important traits …
Factors affecting the accuracy of genomic selection for agricultural economic traits in maize, cattle, and pig populations
Genomic Selection (GS) has been proved to be a powerful tool for estimating genetic values
in plant and livestock breeding. Newly developed sequencing technologies have …
in plant and livestock breeding. Newly developed sequencing technologies have …
Application of SVR-Mediated GWAS for Identification of Durable Genetic Regions Associated with soybean seed quality traits
Soybean (Glycine max L.) is an important food-grade strategic crop worldwide because of its
high seed protein and oil contents. Due to the negative correlation between seed protein …
high seed protein and oil contents. Due to the negative correlation between seed protein …
Translational biomarkers in the era of precision medicine
In this chapter we discuss the past, present and future of clinical biomarker development. We
explore the advent of new technologies, paving the way in which health, medicine and …
explore the advent of new technologies, paving the way in which health, medicine and …
Genome-wide association study of milk components in Chinese Holstein cows using single nucleotide polymorphism
T Wang, J Li, X Gao, W Song, C Chen, D Yao, J Ma… - Livestock Science, 2020 - Elsevier
Genome-wide association study (GWAS) has been widely utilized to identify candidate
genes and causal loci for important traits in farm animals. In this study, we performed a …
genes and causal loci for important traits in farm animals. In this study, we performed a …
Development and application of a genetic algorithm for variable optimization and predictive modeling of five-year mortality using questionnaire data
The problem of selecting important variables for predictive modeling of a specific outcome of
interest using questionnaire data has rarely been addressed in clinical settings. In this study …
interest using questionnaire data has rarely been addressed in clinical settings. In this study …
Brief survey on machine learning in epistasis
D Chicco, T Faultless - Epistasis: Methods and Protocols, 2021 - Springer
In biology, the term “epistasis” indicates the effect of the interaction of a gene with another
gene. A gene can interact with an independently sorted gene, located far away on the …
gene. A gene can interact with an independently sorted gene, located far away on the …
Deep Learning for Efficient GWAS Feature Selection
K Li - arXiv preprint arXiv:2312.15055, 2023 - arxiv.org
Genome-Wide Association Studies (GWAS) face unique challenges in the era of big
genomics data, particularly when dealing with ultra-high-dimensional datasets where the …
genomics data, particularly when dealing with ultra-high-dimensional datasets where the …
Sequential forward floating selection with two selection criteria
D Setiawan, WA Kusuma… - … Conference on Advanced …, 2017 - ieeexplore.ieee.org
Feature selection has been an active area of research for decades. In 1977, Thomas M.
Cover and Jan M. Van Capenhout showed that only exhaustive search can guarantee the …
Cover and Jan M. Van Capenhout showed that only exhaustive search can guarantee the …