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Plot synthetic qPCR relative expression (2^−ΔΔCt) for three independent biological replicates per group. Values are ordered Control; LPS; LPS + inhibitor: IL6: [0.90, 1.0…

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Use a 180 × 105 mm Matplotlib figure with one panel and a white background. Group three bars per gene, width 0…

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Simulate a realistic RNA-seq differential-expression result: rng = np.random.default_rng(7); 15,000 genes named Gene00001…; 92 % null genes with true log2FC = 0, 4 % up a…

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Use a single Matplotlib panel on a 170 × 120 mm white figure. Plot nonsignificant genes first as small grey (#…

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Generate synthetic individual-level data with NumPy: rng = np.random.default_rng(2025). For arms A and B, in that order, generate 120 event times with rng.exponential(sca…

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Create a 180 × 130 mm Matplotlib figure with a survival panel above a compact, shared-x risk-table panel; use…

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Generate synthetic log2-normalized expression for genes G01–G24 and samples A1–A4, B1–B4, C1–C4. With NumPy default_rng(42), set X = 5 + rng.normal(0, 0.35, (24, 12)); ad…

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Create a 180 × 170 mm Matplotlib figure using a GridSpec: a narrow row dendrogram at left, a column dendrogram…

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Plot synthetic inhibition data for compounds A, B and C at eight concentrations, x = np.logspace(0, 4, 8) nM, with three replicates per concentration. Using np.random.def…

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Use a 145 × 100 mm Matplotlib figure with one panel and a white background. Show concentration on a base-10 lo…

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Use synthetic scores for ResNet-50, ViT-B/16, Swin-T, ConvNeXt-T, EfficientNet-B3 and Ours, in that order. Generate five independent runs with rng = numpy.random.default_…

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Create a 190 × 65 mm Matplotlib figure with one row of three equal metric panels and a narrower fourth legend…

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Plot illustrative synthetic scores for four hypothetical language models, in this order: Reasoning, Coding, Math, Knowledge, Safety, Multilingual. Model A: 90, 88, 91, 85…

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Use a single polar Matplotlib panel on a 170 × 145 mm white figure, with ample margin for spoke labels and an…

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Generate synthetic serum IL-6 concentrations with NumPy’s default_rng(2025). In order, draw Healthy (n = 40), Mild (n = 38), Moderate (n = 35), and Severe (n = 30) from l…

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Create a single-panel Matplotlib figure, 165 × 115 mm, on a white background. Use four boxes with fills #8DBBD…

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Plot synthetic test accuracy (%) for five configurations, with five matched runs per configuration. Dataset 1: Base [80, 81, 82, 80, 82]; +A [82, 83, 84, 82, 84]; +B [83,…

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Use a 180 × 85 mm Matplotlib figure with two horizontally aligned panels sharing a y-axis, titled Dataset 1 an…

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Generate illustrative cell-level firing rates with `rng = numpy.random.default_rng(2025)`. In order, draw 60 values with `rng.lognormal(mean, sigma, 60)` for CA1 wild-typ…

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Create a single-panel Matplotlib figure, 150 × 105 mm, with a white background. Place CA1, PFC and BLA at even…

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Generate 80 synthetic survey plots using rng = numpy.random.default_rng(42). In order, assign 27 temperate, 27 Mediterranean and 26 tropical plots. Draw temperature (°C)…

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Use a 150 × 130 mm white Matplotlib figure with a joint scatter panel and narrow shared-axis histograms above…