Saturated Transposon Analysis in Yeast as a one-step method to quantify the fitness effects of gene disruptions on a genome-wide scale. by Enzo Kingma, Floor Dolsma, Leila Iñigo de la Cruz, Liedewij Laan

“…While our method provides reproducible results between replicate SATAY datasets, the obtained fitness distribution differs substantially from those obtained using other techniques. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…All the trials in this framework were accompanied utilizing CICDDoS-2019 datasets and contrasted with the other similar models. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The data of sound absorption coefficients and frequencies under different structural parameters were obtained through COMSOL acoustic simulation, and the corresponding datasets were constructed accordingly. The data were then trained using the LightGBM model, and the prediction model was evaluated to demonstrate the reliability and accuracy of the adopted machine learning method. …”
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CTSK and PLAU as Prognostic Biomarker and Related to Immune Infiltration in Pancreatic Cancer: Evidence from Bioinformatics Analysis and qPCR by Yuntao Ding, Zhangzuo Li, Huizhi Wang, Qi Wang, Han Jiang, Zhengyue Yu, Min Xu

“…This study utilized microarray datasets (GSE15471, GSE62165, and GSE28735) from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs) and construct a protein-protein interaction network using STRING and Cytoscape. …”
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Synthetic data as external control arms in scarce single-arm clinical trials. by Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson, Jan F Nygård

“…Our results indicate that data generalization is advantageous to enhance both data utility and privacy in smaller datasets with high cardinality. Moreover, the generator algorithms demonstrate the ability to generate synthetic data of high utility without compromising the confidentiality of the empirical data. …”
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GABA promotes peroxisome proliferation in Triticum monococcum leaves by Yunus Şahin, Taras Nazarov, Ercan Selçuk Ünlü, Andrei Smertenko, Nusret Zencrici

“…The most commonly upregulated gene in differentiated leaves across all datasets of both species was BETAINE ALANINE DEHYDROGENASE (BADH). …”
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Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength by Bashar Alibrahim, Ahed Habib, Maan Habib

“…Nevertheless, conventional ANNs often require deep networks to achieve acceptable results in cases with large datasets and where generalization is required for a variety of mixtures. …”
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A Mapping Method Fusing Forward-Looking Sonar and Side-Scan Sonar by Hong Liu, Xiufen Ye, Hanwen Zhou, Hanjie Huang

“…Furthermore, by examining the data distribution in FLS and SSS mappings, the standard deviation of these datasets is utilized to refine the grayscale distribution of FLS mapping, thereby enhancing the grayscale distribution similarity between the two mapping results. …”
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PyBootNet: a python package for bootstrapping and network construction by Shayan R. Akhavan, Scott T. Kelley

“…The package offers functions for generating bootstrapped network metrics, statistically comparing network metrics among datasets, and visualizing bootstrapped networks. PyBootNet is designed to be accessible and efficient with minimal dependencies and straightforward input requirements. …”
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D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images by Vo Trong Quang Huy, Chih-Min Lin

“…Thoroughly tested against the DRIVE, CHASEDB1 and STARE datasets, recognized standards in retinal vessel segmentation, the proposed models not only redefine the accuracy benchmarks but also represent a significant stride in automated retinal vessel analysis. …”
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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…Both the microarray and scRNA-seq datasets showed a strong correlation with immune cell infiltration and cytokines, especially GBP1, TRIM22, SRI. …”
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Breast mass lesion area detection method based on an improved YOLOv8 model by Yihua Lan, Yingjie Lv, Jiashu Xu, Yingqi Zhang, Yanhong Zhang

“…Experiments conducted on the MIAS and DDSM datasets show that the new models achieved significantly improved computational efficiency while maintaining high detection accuracy. …”
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Supergraph Topology Feature Index for Personalized Interesting Subgraph Query in Large Labeled Graphs by Xiaohuan Shan, Haihai Li, Chunjie Jia, Dong Li, Baoyan Song

“…We conduct experiments on real and synthetic datasets. Experimental results show that the average performance of our approach is 1.35 higher than that of the state-of-the-art approaches when the query graph is unweighted, and the average performance of our approach is 2.88 higher than that of the state-of-the-art approaches when the query graph is weighted.…”
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Efficient ear alignment using a two‐stack hourglass network by Anja Hrovatič, Peter Peer, Vitomir Štruc, Žiga Emeršič

“…The authors evaluate the proposed framework in comprehensive experiments on the AWEx and ITWE datasets and show that the 2‐SHGNet model leads to more accurate landmark predictions than competing state‐of‐the‐art models from the literature. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…In addition, the proposed model not only converged quickly, but also had the lowest loss values on two different datasets. The F1 scores on the four key features were 0.8136, 0.8267, 0.8046, and 0.7966, all of which were superior to other comparison models. …”
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Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches by Anand Shankar

“…This analysis is conducted by leveraging historical observed datasets. The results demonstrate the feasibility of mitigating the issue of excessive and insufficient flood warnings resulting from the cumulative effects of intense precipitation. …”
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Enhancing spectral imaging with multi-condition image fusion by Joana Teixeira, Tomás Lopes, Diana Capela, Catarina S. Monteiro, Diana Guimarães, Alexandre Lima, Pedro A. S. Jorge, Nuno A. Silva

“…This map is then used to merge datasets acquired with the same technique under distinct acquisition conditions. …”
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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

“…The framework was evaluated using three different Arabic language datasets. The evaluation metrics used to obtain the evaluation results include precision, recall, F-score, and accuracy. …”
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Identification of Signal Pathways and Hub Genes of Pulmonary Arterial Hypertension by Bioinformatic Analysis by Rui-Qi Wei, Wen-Mei Zhang, Zhe Liang, Chunmei Piao, Guangfa Zhu

“…The aim of this study was to provide a new understanding of the pathogenesis of disease and potential treatment targets for patients with PAH based on multiple-microarray analysis.Two microarray datasets (GSE53408 and GSE113439) downloaded from the Gene Expression Omnibus (GEO) database were analysed. …”
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Enhanced dynorphin expression and secretion in pancreatic beta-cells under hyperglycemic conditions by Miranda Movahed, Ruy A. Louzada, Manuel Blandino-Rosano

“…Methods: We used primary mouse and human islets with unbiased published datasets to examine how glucose and other nutrients regulate dynorphin expression and secretion in islets. …”
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