DataSheet1_Optimal Sparsity Selection Based on an Information Criterion for Accurate Gene Regulatory Network Inference.PDF حسب Deniz Seçilmiş (13028616)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

DataSheet1_SS-RNN: A Strengthened Skip Algorithm for Data Classification Based on Recurrent Neural Networks.pdf حسب Wenjie Cao (780652)

Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"

Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"

Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"

Sampled population parameters and corresponding node-based metrics, node removal statistics and BRIDES results. حسب Cindy Bouchard (6844979)

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Population graph of 19 wood turtle populations based on conditional genetic distance (cGD). حسب Cindy Bouchard (6844979)

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MultiCRISPR-EGA: Optimizing Guide RNA Array Design for Multiplexed CRISPR Using the Elitist Genetic Algorithm حسب Yangyu Zhang (4609117)

"…Computational experiments on Escherichia coli gene targets demonstrate that the EGA can rapidly optimize multiplexed gRNA arrays, outperforming other intelligent optimization algorithms in CRISPR interference (CRISPRi) applications, while the GUI provides real-time design progress control and compatibility with various CRISPR-Cas systems. …"

Different population subgraphs based on distinct node selection parameters using a proactive or reactive conservation approach. حسب Cindy Bouchard (6844979)

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Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>" حسب Doga CEDDEN (12675286)

"…The chapter argues that unbiased, screen-based approaches outperform hypothesis-driven gene selection due to the unpredictable influence of cellular processes on RNAi efficacy. …"

BRIDES node selection process for scenario Ap and Model B³D¹E²S³ (3, 0, 0, 1, 2, 3). حسب Cindy Bouchard (6844979)

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Graphical illustration of sample size estimation for the study protocol. حسب Müge Yalçin (16486563)

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Study design flow chart. حسب Müge Yalçin (16486563)

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Average FDR with and . حسب Nand Sharma (21519845)

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FDR and Runtime for ALARM. حسب Nand Sharma (21519845)

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FDR (). حسب Nand Sharma (21519845)

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FDR (). حسب Nand Sharma (21519845)

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ALARM networks with different partial orderings. حسب Nand Sharma (21519845)

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Average Runtime in seconds. حسب Nand Sharma (21519845)

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