Generated network illustrating the pro-groups and their associated features that are identified by 3Mont for differentiating among the BRCA molecular subtypes (HR by Miray Unlu Yazici (14792680)

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Evidence for an AR(1) model for the Lake Michigan-Huron data. by Jesse Wheeler (18462457)

Patch-level landscape metrics derived using the <i>HabSpace</i> function of <i>HabplanR</i> for the entire 35 three-year projection period, across two possible Habplan solutions. by Max D. Jones (6269006)

Demonstration of the limitations of existing spatial analysis methods, namely nearest neighbor distance (NND), G-cross function and Morisita-Horn index. by Mai Chan Lau (3135303)

a) Representation of the deployed porous media submitted to an incident isotropic distribution function <i>f</i>_<i>i</i> with gaussian spatial profile at the inlet face. by Loris Ibarrart (15195203)

(a): Sample statistical graphs of different types of defects. by Yazhou Li (277980)

Random clustering rates and sensitivity of clustering strategies across varying settings. by Katharina Waury (14203284)

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PCA of full simulated repertoire using sequence descriptors. by Katharina Waury (14203284)

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Annotated antibody pair dataset. by Katharina Waury (14203284)

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Antibody pair dataset characteristics. by Katharina Waury (14203284)

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Results of simulated repertoire clustering. by Katharina Waury (14203284)

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Performance comparison of different clustering strategies. by Katharina Waury (14203284)

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Random clustering rates and sensitivity of clustering strategies using the CDR length criterion. by Katharina Waury (14203284)

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BCR repertoire clustering approaches. by Katharina Waury (14203284)

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Limitations of clustering approaches. by Katharina Waury (14203284)

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Aggregated substitution likelihoods. by Katharina Waury (14203284)

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Functional Projection <i>K</i>-means by Roberto Rocci (16022201)

“…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. The observations are projected into a low-dimensional subspace and clustered by means of a functional <i>K</i>-means. …”

Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

“…This figure shows average decoding evidence for features associated with the more and less rewarding training policies on test trials (y-axis) as a function of brain region (x-axis). Feature information could not be decoded above chance in the four brain regions of interest (corrected <i>p-</i>values > 0.05). …”

Workflow of the multi-modal synthesis network. by Yun Peng (464975)

Effects of noise and historical window duration on the time to convergence of model (experiment III). by Elnaz Nemati (21402730)