<p> satisfying the conditions shown in this table.<sup></sup> TP, TN, FP, and FN are the numbers of node pairs </p
<p> denotes the set of all possible (directed) edges among nodes in the network. FN = false negati...
<p>Classifications of predicted links as true positives (TP), false positives (FP), true negatives (...
<p>The number of true positives and false positives identified in different methods.</p
<p>Definitions of true positive (TP), true negative (TN), false positive (FP), and false negative (F...
<p>TP = true positive; FP = false positive; FN = false negative; TN = true negative.</p
<p>Definitions of true-positive, false-positive, true-negative and false-negative used in our study....
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
<p>TP: true positives, FP: false positives, FN: false negatives, TN: ...
<p>The definitions of true and false positives (resp. TP and FP), true and false negatives (resp. TN...
<p>For the calculation of these scores, we manually labelled boxes around the correct boutons. A poi...
Characteristics of true (TP) and false positive (FP) individuals, by disease.</p
<p><i>TP</i> is the number of correct predictions that an instance is positive (<i>true positive</i>...
<p>Variables associated with the number of true negatives (TN), false negatives (FN), false positive...
Summary statistics of the network with positive edges (positive network) and the network with negati...
<p>The positive predictive value PPV was defined as and the negative predictive value NPV as . tn: ...
<p> denotes the set of all possible (directed) edges among nodes in the network. FN = false negati...
<p>Classifications of predicted links as true positives (TP), false positives (FP), true negatives (...
<p>The number of true positives and false positives identified in different methods.</p
<p>Definitions of true positive (TP), true negative (TN), false positive (FP), and false negative (F...
<p>TP = true positive; FP = false positive; FN = false negative; TN = true negative.</p
<p>Definitions of true-positive, false-positive, true-negative and false-negative used in our study....
<p>Here, TP (true positive) and TN (true negative) denote the number of correctly predicted overlap ...
<p>TP: true positives, FP: false positives, FN: false negatives, TN: ...
<p>The definitions of true and false positives (resp. TP and FP), true and false negatives (resp. TN...
<p>For the calculation of these scores, we manually labelled boxes around the correct boutons. A poi...
Characteristics of true (TP) and false positive (FP) individuals, by disease.</p
<p><i>TP</i> is the number of correct predictions that an instance is positive (<i>true positive</i>...
<p>Variables associated with the number of true negatives (TN), false negatives (FN), false positive...
Summary statistics of the network with positive edges (positive network) and the network with negati...
<p>The positive predictive value PPV was defined as and the negative predictive value NPV as . tn: ...
<p> denotes the set of all possible (directed) edges among nodes in the network. FN = false negati...
<p>Classifications of predicted links as true positives (TP), false positives (FP), true negatives (...
<p>The number of true positives and false positives identified in different methods.</p
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