Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. by Susana Conde (5495675)

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Mean observed adjusted Rand index; and Rand index, left and right respectively, over 50 simulations. by Susana Conde (5495675)

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Observed sample means and standard deviations of the distributions of the % ARI in the 50 simulations; comparing different numbers of individual FPCs for Alt 1 (<i>Y</i>, <i>X</i>)... by Susana Conde (5495675)

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Observed sample means and standard deviations of the distributions of the % ARI in the 50 simulations. by Susana Conde (5495675)

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Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions in two days. by Susana Conde (5495675)

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Line plots with the RI for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. by Susana Conde (5495675)

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

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Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions spread in one day. 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 sample means and standard deviations of the distributions of the % ARI in the 50 simulations; comparing analyses where the alternative methods were performed with either <... by Susana Conde (5495675)

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Line plots with the TPR for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. 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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Line plots with the TNR for the simulations with one replicate against the number of clusters for FRECL and the five alternative methods for simulated data sets. by Susana Conde (5495675)

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AR(1) error term, <i>ρ</i> = 0.5, <i>σ</i>² = 0.1 versus i.i.d., <i>σ</i>² = 1 for all the methods; <i>K</i> = 3. 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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Observed adjusted Rand index x100 between the methods for the partitions found setting <i>K</i> = 10 clusters in the data set with mean gene expressions in two days. 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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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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