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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VEP annotation of the aSNPs listed in S1 Table. by Rongxin Zhang (1618159)

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2D density plot of maximum G4Hunter scores for G4s whose formation propensity is computationally impaired by aSNPs. by Rongxin Zhang (1618159)

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A hypothetical example illustrating the differences between the two assessment modes in G4SNVHunter. by Rongxin Zhang (1618159)

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Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

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Proposed Motion Estimation Method. by Elnaz Nemati (21402730)

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Effects of noise level and surround suppression threshold on model convergence time in the RDK task, experiment III. by Elnaz Nemati (21402730)

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Stimuli to test the coherency threshold for surround suppression. by Elnaz Nemati (21402730)

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

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Overview of experimental paradigms. by Elnaz Nemati (21402730)

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The model successfully identified the motion structure in experiments I and II. by Elnaz Nemati (21402730)

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Surround Suppression mechanism. by Elnaz Nemati (21402730)

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Parameters of stimuli used in the study. by Elnaz Nemati (21402730)

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Illustration of visual motion structure separation in complex scenes. by Elnaz Nemati (21402730)

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Individual and shared motion in a random dot kinematogram, experiment III. by Elnaz Nemati (21402730)

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Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…Our algorithm works for slightly more general multiscale penalties. …”

Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

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F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. by Liyan Sun (760586)

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