Detecting gene–gene interactions that underlie human diseases
HJ Cordell - Nature Reviews Genetics, 2009 - nature.com
Following the identification of several disease-associated polymorphisms by genome-wide
association (GWA) analysis, interest is now focusing on the detection of effects that, owing to …
association (GWA) analysis, interest is now focusing on the detection of effects that, owing to …
Bioinformatics challenges for genome-wide association studies
Motivation: The sequencing of the human genome has made it possible to identify an
informative set of> 1 million single nucleotide polymorphisms (SNPs) across the genome …
informative set of> 1 million single nucleotide polymorphisms (SNPs) across the genome …
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix …
Evaluating binary classifications is a pivotal task in statistics and machine learning, because
it can influence decisions in multiple areas, including for example prognosis or therapies of …
it can influence decisions in multiple areas, including for example prognosis or therapies of …
Melanoma diagnosis using deep learning techniques on dermatoscopic images
MF Jojoa Acosta, LY Caballero Tovar… - BMC Medical …, 2021 - Springer
Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
detection is a major factor in reducing mortality rates associated with this type of skin cancer …
TPOT: A tree-based pipeline optimization tool for automating machine learning
As data science becomes more mainstream, there will be an ever-growing demand for data
science tools that are more accessible, flexible, and scalable. In response to this demand …
science tools that are more accessible, flexible, and scalable. In response to this demand …
Evaluation of a tree-based pipeline optimization tool for automating data science
As the field of data science continues to grow, there will be an ever-increasing demand for
tools that make machine learning accessible to non-experts. In this paper, we introduce the …
tools that make machine learning accessible to non-experts. In this paper, we introduce the …
PMLB: a large benchmark suite for machine learning evaluation and comparison
Background The selection, development, or comparison of machine learning methods in
data mining can be a difficult task based on the target problem and goals of a particular …
data mining can be a difficult task based on the target problem and goals of a particular …
Data-driven advice for applying machine learning to bioinformatics problems
As the bioinformatics field grows, it must keep pace not only with new data but with new
algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used …
algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used …
The balanced accuracy and its posterior distribution
Evaluating the performance of a classification algorithm critically requires a measure of the
degree to which unseen examples have been identified with their correct class labels. In …
degree to which unseen examples have been identified with their correct class labels. In …
BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
Gene-gene interactions have long been recognized to be fundamentally important for
understanding genetic causes of complex disease traits. At present, identifying gene-gene …
understanding genetic causes of complex disease traits. At present, identifying gene-gene …