Performance evaluation metrics of 3Mont across different cancer types. The total sample size column lists the numbers of the tumor and control samples, respectively. A 1:1 sampling... by Miray Unlu Yazici (14792680)

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Generated network illustrating the pro-groups and their associated features that are identified by 3Mont for differentiating among the BRCA molecular subtypes (HR by Miray Unlu Yazici (14792680)

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Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Schematic showcasing main steps involved in the generation of a new daughter node <i>C</i>_<i>i</i> and subsequently a new branch <i>B</i>_<i>i</i>. by Diana C. de Oliveira (9220729)

Visual assessments across three real scenarios: Scenes with backgrounds similar to defects (a), scenes with small targets (b), and simple scenes (c). by Weiyu Han (3448742)

Averaged absorption spectra as a function of cost compared to the far-red adapted cyanobacteria <i>Acarychloris marina</i> [62] for (A) 40% of available visible light below 700nm,... by Callum Gray (2691769)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

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

Convergence curve of the GL-SSL Model’s training loss function, illustrating the trend of loss reduction over 300 iterations, reflecting the model’s stability and rapid convergence... by Jiangjiang He (9676377)

Image and optimization comparison diagram for the Kowalik and Osborne function. by Kuiyuan Pan (21145338)

“…<p>(a) Kowalik and Osborne three-dimensional function image. (b) Algorithm convergence curve comparison.…”

Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

“…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. …”

Pathway activity and single-cell level functional states of CEDGs in cancer. by Yuxi Gu (11386081)

Cost function calculated by QA with different hyperparameters. by Takuro Matsuta (21608505)

Cost function calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

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)

“…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …”

Functional enrichment analyses of Co-genes. by Qingcong Zheng (11169094)

Functional examination of the 6 key significant genes found in modules 1 and 2. by Ravinder Sharma (13154079)

<i>slc3a2a</i>^<i>zion</i> is a novel regulator of B-lp metabolism. by McKenna Feltes (11242085)

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. by Nicholas A. Rondoni (21573261)