Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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A comparison of the absorption coefficients obtained from the current simulation method (FEM) with those obtained by Sharma et al. [13]. by Xiaogang Li (299205)

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Description of data sources. by Gowtham A. Rao (8261928)

“…<div><p>Objective</p><p>This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.…”

Feature intersection and sequence patterns for <i>S</i>. <i>cerevisiae</i> S site of five fungal species. by Chao Wang (146527)

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Performance comparison of feature selection strategies for <i>S</i>. <i>cerevisiae</i> S phosphorylation site. by Chao Wang (146527)

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Comparison results of four feature selection strategies for <i>S</i>. <i>cerevisiae</i> S phosphorylation site. by Chao Wang (146527)

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Accuracy values of the model constructed with embedded features with different k-mer length and window size. by Chao Wang (146527)

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The statistics of number of proteins and phosphorylation S/T/Y sites for different organisms. by Chao Wang (146527)

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MFPSP workflow. by Chao Wang (146527)

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The prediction performance for the fungi phosphorylation S/T/Y site in seven organisms. by Chao Wang (146527)

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Feature importance, contribution and dependency analysis. by Chao Wang (146527)

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Performance comparison of MFPSP with existing predictors on independent test data. by Chao Wang (146527)

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Result by using GA without the greedy algorithm, including specific week, number of vessel boats purchased, number of operators purchased, number of operators maintained, number of... by Zixi Wang (459102)

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Result by using GA with a greedy algorithm, including specific week, number of vessel boats purchased, number of operators purchased, number of operators maintained, number of vess... by Zixi Wang (459102)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

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List of aSNPs predicted to disrupt G4 formation propensity. by Rongxin Zhang (1618159)

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Overview of archaic SNPs (aSNPs) potentially affecting G4 formation, identified by G4SNVHunter. by Rongxin Zhang (1618159)

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Schematic diagram of the G4Hunter scanning principle. by Rongxin Zhang (1618159)

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An example of an aSNP affecting G4 formation. by Rongxin Zhang (1618159)

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