8 research outputs found

    Detection of subtypes B and F in the <i>gag-pol</i> region of CRFs

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    <p>. Z-scores of CRF strains containing segments of (a) B subtype; (b) F subtype. The numbers on the X-axis correspond to the various CRF strains as annotated in the Los Alamos HIV database. An abbreviated annotation is used. For example, the label 14 refers to CRF14_BG and 28 refer to CRF28_BF etc. The solid and dashed lines correspond to the thresholds Tp and Tn respectively.</p

    Subtype B classification using the improved method.

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    <p>(a) Distribution of Z-scores for group M sequences; (b) Frequency distribution of Z-scores, when six sequences of subtype B are used in the positive training set.</p

    Subtype C classification using the standard method.

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    <p>Distribution of Z-scores for all HIV-1, group M sequences in the database when the training set (labelled TS) is constructed using six sequences belonging to the subtype C. Tp (dashed line) denotes the minimum score of some sequences belonging to the test set and Tn (solid line) denotes the maximum score of the remaining sequences.</p

    Subtype D classification using the standard method.

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    <p>Distribution of Z-scores for all HIV-1 group M sequences in the database when the training set is constructed using sequences belonging to the subtype D.</p

    Accuracy of subtype detection in the <i>gag-pol</i> region of CRFs.

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    <p>Accuracy of subtype detection in the <i>gag-pol</i> region of CRFs.</p

    Accuracy of subtype detection in the <i>env</i> region of CRFs.

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    <p>Accuracy of subtype detection in the <i>env</i> region of CRFs.</p

    Subtype D classification using the improved method.

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    <p>(a) Distribution of Z-scores for the test and training sets; (b) Frequency distribution of Z-scores, when six sequences of subtype D are used in the positive training set.</p

    Supplementary Information: Optimized evolution of networks for principal eigenvector localization

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    Supplementary information of "Optimized evolution of networks for principal eigenvector localization" article<br
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