Relationship between cardiac output (CO) measured with transthoracic Doppler echocardiography (TTE) and estimated with the Antares oscillometric pulse wave analysis algorithm in ma... by Alexander Stäuber (10353580)

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Relationship between cardiac output (CO) measured with transthoracic Doppler echocardiography (TTE) and estimated with the Antares oscillometric pulse wave analysis algorithm in fe... by Alexander Stäuber (10353580)

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Top five enriched functions for genes in cluster 1. by Benafsh Husain (7140098)

Full functional enrichment analysis of bimodal cluster genes. by Benafsh Husain (7140098)

The impact of extrinsic noise sources on the measured SNR is plotted for both CW and TG against varying optical filter magnitudes. by Nicholas H. Vitale (20469289)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

The option for exporting sub-networks according to the detected communities. by Paolo Perlasca (9909695)

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Zoom in/out of the multi-resolution representation of the integrated network. by Paolo Perlasca (9909695)

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Specification of the networks integration/prediction and kind of navigation. by Paolo Perlasca (9909695)

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List of potential novel associations predicted with a high score and confirmed by the most recent literature works. by Paolo Perlasca (9909695)

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Combination of the vertex-based and community-based navigation. by Paolo Perlasca (9909695)

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Main tasks supported by the proposed UNIPred-Web upgrade. by Paolo Perlasca (9909695)

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A comparison of visual tools for the exploration of biomolecular networks. by Paolo Perlasca (9909695)

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Starting point of the community-based navigation. by Paolo Perlasca (9909695)

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Fig 7 - by Paolo Perlasca (9909695)

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Top 3-enriched pathways with literature evidence. by Paolo Perlasca (9909695)

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Presentation_1_Identification of the Real Hub Gene and Construction of a Novel Prognostic Signature for Pancreatic Adenocarcinoma Based on the Weighted Gene Co-expression Network A... by Qihang Yuan (9515160)

“…Thus, we aimed to identify real hub genes to better explore the pathophysiology of PAAD and construct a prognostic panel to better predict the prognosis of PAAD using the weighted gene co-expression network analysis (WGCNA) and the least absolute shrinkage and selection operator (LASSO) algorithms.…”

The pseudocode for the NAFPSO algorithm. by Huichao Guo (14515171)

“…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …”

PSO algorithm flowchart. by Huichao Guo (14515171)

“…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …”