Predictions were classified as either true negative, false negative, true positive or false positive outcomes. The numbers of targeting and non-targeting sequences for each of the 4 possible outcomes are listed separately. Where sequences were correctly flagged by S&B as true positives, “Targeting” and “Non-targeting” refer to the incorrect claimed status in the relevant publication.</p
<p>Results only include MOTUs with more than two sequences. Identity and mismatches with Sanger read...
Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...
Predictions were classified as either true negative, false negative, true positive or false positive...
Numbers and proportions of Corpus P and Corpus U papers that were correctly or incorrectly flagged b...
<p>Precision (positive predictive value) is the percentage of texts positively classified by the alg...
posterInternational audienceBiomedical literature describing erroneous nucleotide sequence reagents ...
<p>Datasets in (A) 100 bp and (B) 76 bp read lengths. PPV, TP, and FP stand for positive predictive ...
BLASTn results of the sequences of the taxa with relative abundance higher than 1% in external body ...
<p>Prediction category and outcome columns are in bold if the prediction is supported and not if the...
International audienceNucleotide sequence reagents are verifiable experimental reagents in biomedica...
<p>The “False Negatives” column shows the total number of false negatives produced by each algorithm...
Nucleotide sequence reagents are verifiable experimental reagents in biomedical publications, becaus...
<p>Evaluation of different statistical methods is compared with only sequence-based prediction. For ...
<p>The performance of the binary encoding scheme was assessed using a 10-fold cross-validation strat...
<p>Results only include MOTUs with more than two sequences. Identity and mismatches with Sanger read...
Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...
Predictions were classified as either true negative, false negative, true positive or false positive...
Numbers and proportions of Corpus P and Corpus U papers that were correctly or incorrectly flagged b...
<p>Precision (positive predictive value) is the percentage of texts positively classified by the alg...
posterInternational audienceBiomedical literature describing erroneous nucleotide sequence reagents ...
<p>Datasets in (A) 100 bp and (B) 76 bp read lengths. PPV, TP, and FP stand for positive predictive ...
BLASTn results of the sequences of the taxa with relative abundance higher than 1% in external body ...
<p>Prediction category and outcome columns are in bold if the prediction is supported and not if the...
International audienceNucleotide sequence reagents are verifiable experimental reagents in biomedica...
<p>The “False Negatives” column shows the total number of false negatives produced by each algorithm...
Nucleotide sequence reagents are verifiable experimental reagents in biomedical publications, becaus...
<p>Evaluation of different statistical methods is compared with only sequence-based prediction. For ...
<p>The performance of the binary encoding scheme was assessed using a 10-fold cross-validation strat...
<p>Results only include MOTUs with more than two sequences. Identity and mismatches with Sanger read...
Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...
Accuracies of target identification results of the 10-fold cross-validation for a trial for m-sequen...