Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Flowchart of one iteration of the CE-Symm algorithm. by Spencer E. Bliven (6672755)

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Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Functional enrichment of 17 gene clusters identified in down-regulated drought tolerant network (dDTN) using MCL algorithm. by Sanchari Sircar (198485)

The results of LASSO regression algorithm. by Xue Fu (549661)

Depiction of the theory, can sequence infer function? by Ashley I. Heinson (8124374)

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Illustration of the perturbation of the protein relationship network and NECARE algorithm. by Jiajun Qiu (4684921)

Convergence curves of voltage stability enhancement based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

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Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

“…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”

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

“…<b>(B)</b> The priority of the top 10 genes was evaluated through MNC, which identifies clusters of protein nodes that are more functionally connected to each other and selects the central proteins within the cluster. …”

Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

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PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

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A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”

Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

“…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …”

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

Pseudocode of the RPath algorithm. by Daniel Domingo-Fernández (5432273)

“…For each path found, drug-perturbed (i.e., drug_tr) and disease-specific (disease_tr) transcriptomic signatures are overlaid onto their corresponding protein nodes. The function then prioritizes the drug if at least one path is concordant with the observed drug-perturbed transcriptomic signatures (evaluated via <b>Function 1</b>, <i>is_concordant</i>) and the same path is anti-correlated with the observed disease-specific transcriptomic signatures (evaluated via <b>Function 2</b>, <i>is_anti_correlated</i>). …”

Convergence curve of reactive power transmission line loss minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

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