<p><sup>*</sup>Four samples from phenotype categories 3 and 4 lacked data in one of the following SNPs: rs1160312, rs6625150, rs4679955 and therefore were excluded from the analyses.</p><p>Parameters describing the accuracy of prediction of MPB using 20-SNP logistic regression prediction model.</p
Discrepancies between the phenotype and genotype prediction of drug resistance from the 85 Mtb sampl...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>% indicates the percentage of genes and nucleotides predicted exactly. There were no SN or SP val...
<p>SNPs were divided into 6 models based on MAF or haplotype. AUC (A) and TPR (B) were calculated us...
<p>Top panel: Three models were developed for predicting the membership of a given SNP in the NHGRI ...
Conventional statistical modeling techniques, used to detect high-order interactions between SNPs, l...
Conventional statistical modeling techniques, used to detect high-order interactions between SNPs, l...
<p>PPH-1 – PolyPhen-1; PPH-2 – PolyPhen-2; PMD dataset – dataset from Protein Mutant Database; MMP –...
Abstract Background In a typical genome-enabled prediction problem there are many more predictor var...
<p>(To increase readability, the log<sub>10</sub>(BFs) are truncated at 20). (A) Genome-wide log<sub...
<p>(To increase readability, the log<sub>10</sub>(BFs) are truncated at 20). (A) Genome-wide log<sub...
1<p>P-value <0.0001;</p>2<p>Root mean square errors (RMSE) for the models using the training (T) and...
<div><p>Using a genetic risk score (GRS) to predict a phenotype in a target sample can be complicate...
<p>* Includes both genotypes originally called by GBS and following imputation</p><p>** 301soybean l...
Discrepancies between the phenotype and genotype prediction of drug resistance from the 85 Mtb sampl...
Discrepancies between the phenotype and genotype prediction of drug resistance from the 85 Mtb sampl...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>% indicates the percentage of genes and nucleotides predicted exactly. There were no SN or SP val...
<p>SNPs were divided into 6 models based on MAF or haplotype. AUC (A) and TPR (B) were calculated us...
<p>Top panel: Three models were developed for predicting the membership of a given SNP in the NHGRI ...
Conventional statistical modeling techniques, used to detect high-order interactions between SNPs, l...
Conventional statistical modeling techniques, used to detect high-order interactions between SNPs, l...
<p>PPH-1 – PolyPhen-1; PPH-2 – PolyPhen-2; PMD dataset – dataset from Protein Mutant Database; MMP –...
Abstract Background In a typical genome-enabled prediction problem there are many more predictor var...
<p>(To increase readability, the log<sub>10</sub>(BFs) are truncated at 20). (A) Genome-wide log<sub...
<p>(To increase readability, the log<sub>10</sub>(BFs) are truncated at 20). (A) Genome-wide log<sub...
1<p>P-value <0.0001;</p>2<p>Root mean square errors (RMSE) for the models using the training (T) and...
<div><p>Using a genetic risk score (GRS) to predict a phenotype in a target sample can be complicate...
<p>* Includes both genotypes originally called by GBS and following imputation</p><p>** 301soybean l...
Discrepancies between the phenotype and genotype prediction of drug resistance from the 85 Mtb sampl...
Discrepancies between the phenotype and genotype prediction of drug resistance from the 85 Mtb sampl...
Motivation: Using simulation studies for quantitative trait loci, we evaluate the prediction quality...
<p>% indicates the percentage of genes and nucleotides predicted exactly. There were no SN or SP val...