easyGWAS: a cloud-based platform for comparing the results of genome-wide association studies
The ever-growing availability of high-quality genotypes for a multitude of species has
enabled researchers to explore the underlying genetic architecture of complex phenotypes …
enabled researchers to explore the underlying genetic architecture of complex phenotypes …
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana
Genome-wide association studies (GWAS) are integral for studying genotype-phenotype
relationships and gaining a deeper understanding of the genetic architecture underlying trait …
relationships and gaining a deeper understanding of the genetic architecture underlying trait …
Genetic architecture of nonadditive inheritance in Arabidopsis thaliana hybrids
The ubiquity of nonparental hybrid phenotypes, such as hybrid vigor and hybrid inferiority,
has interested biologists for over a century and is of considerable agricultural importance …
has interested biologists for over a century and is of considerable agricultural importance …
Localized lasso for high-dimensional regression
We introduce the localized Lasso, which learns models that both are interpretable and have
a high predictive power in problems with high dimensionality d and small sample size n …
a high predictive power in problems with high dimensionality d and small sample size n …
BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference
Background Inferring gene networks from high-throughput data constitutes an important step
in the discovery of relevant regulatory relationships in organism cells. Despite the large …
in the discovery of relevant regulatory relationships in organism cells. Despite the large …
Predicting Gene Regulatory Interactions Using Natural Genetic Variation
Genome-wide association studies (GWAS) are a powerful tool to elucidate the genotype–
phenotype map. Although GWAS are usually used to assess simple univariate associations …
phenotype map. Although GWAS are usually used to assess simple univariate associations …
Spadis: An algorithm for selecting predictive and diverse snps in gwas
Phenotypic heritability of complex traits and diseases is seldom explained by individual
genetic variants identified in genome-wide association studies (GWAS). Many methods have …
genetic variants identified in genome-wide association studies (GWAS). Many methods have …
Transfer learning in information criteria-based feature selection
This paper investigates the effectiveness of transfer learning based on information criteria.
We propose a procedure that combines transfer learning with Mallows' Cp (TLCp) and prove …
We propose a procedure that combines transfer learning with Mallows' Cp (TLCp) and prove …
Network-Guided Biomarker Discovery
CA Azencott - Machine Learning for Health Informatics: State-of-the …, 2016 - Springer
Identifying measurable genetic indicators (or biomarkers) of a specific condition of a
biological system is a key element of precision medicine. Indeed it allows to tailor diagnostic …
biological system is a key element of precision medicine. Indeed it allows to tailor diagnostic …
[PDF][PDF] Exploring the Genotype-Phenotype Relationship Using Big Data and Machine Learning
M Togninalli - 2020 - research-collection.ethz.ch
Biology is orchestrated by a myriad of beautifully complex phenomena. While scientists have
only been able to uncover a tiny part of all existing biological mechanisms, they have done …
only been able to uncover a tiny part of all existing biological mechanisms, they have done …