Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Cell surface levels of putative disease-associated ROMK mutants are reduced in HEK293 cells. by Nga H. Nguyen (2075920)

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The immune infiltration fraction of 28 immune cells in the samples. by Guanghao Xin (17583227)

Subjects: “…Cell Biology…”

An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

Data_Sheet_1_Transcranial magnetic stimulation mapping of the motor cortex: comparison of five estimation algorithms.docx by Yuanyuan Chen (165812)

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Benchmark functions. by Qinghe Guo (21519322)

Tumor microenvironment analysis based on single-cell RNA sequencing results. by Yanfeng Xue (465345)

Subjects: “…Cell Biology…”

Attack and defense behaviors with the sensory–motor algorithm between a single predator and a single prey. by Hiroyuki Ichijo (13891153)

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Name, biological function and pharmaceutical application of best 10 performing targets with PharmaNet. by Paola Ruiz Puentes (10701646)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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Comparative analysis of cell-cell communication networks between NC and GC samples. by Xiangxin Wu (22320058)

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datasheet1_PV Cell Parameter Extraction Using Data Prediction–Based Meta-Heuristic Algorithm via Extreme Learning Machine.docx by Bing Li (43671)

“…Hence, this article proposes a novel parameter extraction strategy by data prediction–based meta-heuristic algorithm (DPMhA). An extreme learning machine (ELM) is adopted to predict output I–V data from measured data, which can provide a more reliable fitness function to meta-heuristic algorithms (MhAs). …”

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.…”

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.…”

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

“…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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