Mean true positive and true negative clustering rates, 50 simulations for FRECL. by Susana Conde (5495675)

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Illustration of simulated gene expressions during 48 hours, see horizontal axis, based on [60]’s data set. Left, raw simulated values; right, smoothed values. by Susana Conde (5495675)

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Observed distributions of ARI ×100 from the FRECL partition after consensus clustering; against the number of runs. by Susana Conde (5495675)

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Each column represents a cluster designated by FRECL, either when considering the average across the two days (1d) or the two days separately (2d). by Susana Conde (5495675)

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Surface plots for the parameter estimates of FRECL. by Susana Conde (5495675)

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Line plots with the RI, left, TPR, centre, and TNR, right for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simul... by Susana Conde (5495675)

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Fig 6 - Computing generalized cophenetic distances under all <i>L</i>_<i>p</i> norms: A near-linear time algorithmic framework by Paweł Górecki (3285255)

S1 Data - by John N. Staffurth (20636565)

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S1 File - by John N. Staffurth (20636565)

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Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

Numerical solution of natural convection (Pr = 1). by Salima Kouser (21416698)

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Predicted SNR normalized to the acquisition time of 1s versus input excitation power for CW and TG systems. by Nicholas H. Vitale (20469289)

Flowchart of the entire pipeline. by Andreas Denger (12111159)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …”

DUSP1 expression and effect on proliferation and migration in GC. by Jie Chu (293795)

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Effectiveness of RWOA and other SOTA algorithms. by Junhao Wei (6816803)

“…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …”

Bayesian Clustering via Fusing of Localized Densities by Alexander Dombowsky (20289372)

“…The data are then clustered by minimizing the expectation of a clustering loss function that favors similarity to the component labels. …”

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…Species can perform at most one reaction of the linear chain, which naturally groups them into <i>N</i> groups (<i>N</i> − 1 groups consuming metabolite 1, …, <i>N</i> − 1, and a group not involved in the chain). …”

Greedy Man Optimization Algorithm (GMOA) by Hamed Nozari (20601020)

A flow diagram to explain the algorithm named 2BDP (Biomarker Discovery Process at Binomial Decision Point) that we used to find the best fitting model to predict RRiF. by Nabarun Chakraborty (535772)