- See Also
-
Links
- “MegaBayesianAlphabet: Mega-scale Bayesian Regression Methods for Genome-wide Prediction and Association Studies With Thousands of Traits”, Et Al 2022
- “Do Multiple Experimenters Improve the Reproducibility of Animal Studies?”, Et Al 2022
- “Identifying Imaging Genetic Associations via Regional Morphometricity Estimation”, Et Al 2022
- “Interest of Phenomic Prediction As an Alternative to Genomic Prediction in Grapevine”, Et Al 2021
- “Raman2RNA: Live-cell Label-free Prediction of Single-cell RNA Expression Profiles by Raman Microscopy”, Kobayashi- Et Al 2021
- “Autism-related Dietary Preferences Mediate Autism-gut Microbiome Associations”, Et Al 2021
- “General Dimensions of Human Brain Morphometry Inferred from Genome-wide Association Data”, Et Al 2021
- “MegaLMM: Mega-scale Linear Mixed Models for Genomic Predictions With Thousands of Traits”, Et Al 2021
- “Small Effects: The Indispensable Foundation for a Cumulative Psychological Science”, Et Al 2021
- “A Parsimonious Model for Mass-univariate Vertex-wise Analysis”, Couvy- Et Al 2021
- “A Contamination Theory of the Obesity Epidemic”, Ludwin-Peery & Ludwin-2021
- “Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge”, Couvy- Et Al 2020
- “Exploring the Variance in Complex Traits Captured by DNA Methylation Assays”, Et Al 2020
- “A Unified Framework for Association and Prediction from Vertex-wise Grey-matter Structure”, Couvy- Et Al 2020
- “Using High-throughput Phenotypes to Enable Genomic Selection by Inferring Genotypes”, Et Al 2020
- “Analysis of Variance When Both Input and Output Sets Are High-dimensional”, Et Al 2020
- “In-field Whole Plant Maize Architecture Characterized by Latent Space Phenotyping”, Et Al 2019
- “Widespread Associations between Grey Matter Structure and the Human Phenome”, Couvy- Et Al 2019
- “Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies”, Et Al 2019
- “Variance Components Beyond Genetics”, 2019
- “Predicting Human Inhibitory Control from Brain Structural MRI”, Et Al 2019
- “Global Signal Regression Strengthens Association between Resting-state Functional Connectivity and Behavior”, Et Al 2019
- “Phenomic Selection: a Low-cost and High-throughput Alternative to Genomic Selection”, Et Al 2018
- “Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks With Application to Autism Spectrum Disorder”, 2018
- “The Relationship between Spatial Configuration and Functional Connectivity of Brain Regions”, Et Al 2018
- “Environmental Factors Dominate over Host Genetics in Shaping Human Gut Microbiota Composition”, Et Al 2017
- “Morphometricity As a Measure of the Neuroanatomical Signature of a Trait”, Et Al 2016
- “Everything Is Correlated”, 2014
- “The Remarkable, yet Not Extraordinary, Human Brain As a Scaled-up Primate Brain and Its Associated Cost”, Herculano-2012
- “Mapping the Human Exposome: It’s Now Possible to Map a Person’s Lifetime Exposure to Nutrition, Bacteria, Viruses, and Environmental Toxins-which Profoundly Influence Human Health”
- “Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“MegaBayesianAlphabet: Mega-scale Bayesian Regression Methods for Genome-wide Prediction and Association Studies With Thousands of Traits”, Et Al 2022
“MegaBayesianAlphabet: Mega-scale Bayesian Regression methods for genome-wide prediction and association studies with thousands of traits”, 2022-05-08 (; backlinks; similar)
“Do Multiple Experimenters Improve the Reproducibility of Animal Studies?”, Et Al 2022
“Do multiple experimenters improve the reproducibility of animal studies?”, 2022-05-05 (; backlinks; similar; bibliography)
“Identifying Imaging Genetic Associations via Regional Morphometricity Estimation”, Et Al 2022
“Identifying imaging genetic associations via regional morphometricity estimation”, 2022-01-03 (; backlinks; similar)
“Interest of Phenomic Prediction As an Alternative to Genomic Prediction in Grapevine”, Et Al 2021
“Interest of phenomic prediction as an alternative to genomic prediction in grapevine”, 2021-12-17 (; backlinks; similar)
“Raman2RNA: Live-cell Label-free Prediction of Single-cell RNA Expression Profiles by Raman Microscopy”, Kobayashi- Et Al 2021
“Raman2RNA: Live-cell label-free prediction of single-cell RNA expression profiles by Raman microscopy”, 2021-12-01 (; backlinks; similar)
“Autism-related Dietary Preferences Mediate Autism-gut Microbiome Associations”, Et Al 2021
“Autism-related dietary preferences mediate autism-gut microbiome associations”, 2021-11-11 (; backlinks; similar)
“General Dimensions of Human Brain Morphometry Inferred from Genome-wide Association Data”, Et Al 2021
“General dimensions of human brain morphometry inferred from genome-wide association data”, 2021-10-25 (; backlinks; similar)
“MegaLMM: Mega-scale Linear Mixed Models for Genomic Predictions With Thousands of Traits”, Et Al 2021
“MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits”, 2021-07-23 (; backlinks; similar)
“Small Effects: The Indispensable Foundation for a Cumulative Psychological Science”, Et Al 2021
“Small Effects: The Indispensable Foundation for a Cumulative Psychological Science”, 2021-07-02 (; backlinks; similar)
“A Parsimonious Model for Mass-univariate Vertex-wise Analysis”, Couvy- Et Al 2021
“A parsimonious model for mass-univariate vertex-wise analysis”, 2021-01-22 (backlinks; similar)
“A Contamination Theory of the Obesity Epidemic”, Ludwin-Peery & Ludwin-2021
“Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge”, Couvy- Et Al 2020
“Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge”, 2020-12-15 (; backlinks; similar)
“Exploring the Variance in Complex Traits Captured by DNA Methylation Assays”, Et Al 2020
“Exploring the variance in complex traits captured by DNA methylation assays”, 2020-10-10 (; backlinks; similar)
“A Unified Framework for Association and Prediction from Vertex-wise Grey-matter Structure”, Couvy- Et Al 2020
“A unified framework for association and prediction from vertex-wise grey-matter structure”, 2020-07-20 (; backlinks; similar)
“Using High-throughput Phenotypes to Enable Genomic Selection by Inferring Genotypes”, Et Al 2020
“Using high-throughput phenotypes to enable genomic selection by inferring genotypes”, 2020-03-02 (; backlinks; similar)
“Analysis of Variance When Both Input and Output Sets Are High-dimensional”, Et Al 2020
“Analysis of variance when both input and output sets are high-dimensional”, 2020-02-15 (; backlinks; similar)
“In-field Whole Plant Maize Architecture Characterized by Latent Space Phenotyping”, Et Al 2019
“In-field whole plant maize architecture characterized by Latent Space Phenotyping”, 2019-09-10 (; backlinks; similar)
“Widespread Associations between Grey Matter Structure and the Human Phenome”, Couvy- Et Al 2019
“Widespread associations between grey matter structure and the human phenome”, 2019-07-09 (; backlinks; similar)
“Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies”, Et Al 2019
“Latent Space Phenotyping: Automatic Image-Based Phenotyping for Treatment Studies”, 2019-04-15 (; backlinks; similar)
“Variance Components Beyond Genetics”, 2019
“Variance Components Beyond Genetics”, 2019-03-29 (; backlinks; bibliography)
“Predicting Human Inhibitory Control from Brain Structural MRI”, Et Al 2019
“Global Signal Regression Strengthens Association between Resting-state Functional Connectivity and Behavior”, Et Al 2019
“Global signal regression strengthens association between resting-state functional connectivity and behavior”, 2019 (; backlinks; similar)
“Phenomic Selection: a Low-cost and High-throughput Alternative to Genomic Selection”, Et Al 2018
“Phenomic selection: a low-cost and high-throughput alternative to genomic selection”, 2018-04-16 (; backlinks; similar)
“Intact Connectional Morphometricity Learning Using Multi-view Morphological Brain Networks With Application to Autism Spectrum Disorder”, 2018
“The Relationship between Spatial Configuration and Functional Connectivity of Brain Regions”, Et Al 2018
“The relationship between spatial configuration and functional connectivity of brain regions”, 2018 (; backlinks; similar)
“Environmental Factors Dominate over Host Genetics in Shaping Human Gut Microbiota Composition”, Et Al 2017
“Environmental factors dominate over host genetics in shaping human gut microbiota composition”, 2017-06-26 (; backlinks; similar)
“Morphometricity As a Measure of the Neuroanatomical Signature of a Trait”, Et Al 2016
“Morphometricity as a measure of the neuroanatomical signature of a trait”, 2016-09-09 (; backlinks; similar)
“Everything Is Correlated”, 2014
“Everything Is Correlated”, 2014-09-12 (; backlinks; similar; bibliography)
“The Remarkable, yet Not Extraordinary, Human Brain As a Scaled-up Primate Brain and Its Associated Cost”, Herculano-2012
“The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost”, 2012-06-19 (; backlinks; similar)
“Mapping the Human Exposome: It’s Now Possible to Map a Person’s Lifetime Exposure to Nutrition, Bacteria, Viruses, and Environmental Toxins-which Profoundly Influence Human Health”
“Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation”
Wikipedia
Miscellaneous
Link Bibliography
-
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001564: “Do Multiple Experimenters Improve the Reproducibility of Animal Studies?”, : -
variance-components: “Variance Components Beyond Genetics”, Gwern Branwen: -
everything: “Everything Is Correlated”, Gwern Branwen: