TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…The proposed EFE model generates a DLob string and by using this string, the explainable results have been obtained. …”
Get full text

SMT efficiency in supervised ML methods: a throughput and interference analysis by Lucia Pons, Marta Navarro, Salvador Petit, Julio Pons, María E. Gómez, Julio Sahuquillo

“…Regarding emerging workloads, machine learning is taking an important role in many research domains like biomedicine, economics, and social sciences. …”
Get full text

A flying ad-hoc network dataset for early time series classification of grey hole attacks by Charles Hutchins, Leonardo Aniello, Enrico Gerding, Basel Halak

“…These sequences undergo post-processing via two methods: firstly, an anonymization procedure that replaces IP addresses with standard string variables, allowing for offline model training and deployment on any UAV; and secondly, the application of feature engineering techniques to format the data for machine learning model integration. …”
Get full text

Comparative Analysis of Text Mining Classification Algorithms for English and Indonesian Qur’an Translation by Rahmat Hidayat, Sekar Minati

“…Indonesian translation was processed by using the sastrawi package in Python to do the pre-processing and StringToWord Vector in WEKA with the TF-IDF method to implement the algorithms. …”
Get full text

IMPROVEMENT OF THE HYDRAULIC EXCAVATOR’S WORKING EQUIPMENT by A. I. Demidenko, I. S. Kuznetsov

“…The speed of the pipeline overhaul, which consists in replacing old pipes with new ones, depends on the effectiveness of the entire repair string as a whole. The main excavation machine is a hydraulic excavator. …”
Get full text

Chemoreactomic study of fonturacetam effects: molecular mechanisms of influence on adipose tissue metabolism by O. A. Gromova, I. Yu. Torshin

“…Chemoreactomic, pharmacoinformatic and chemoneurocytological methods of molecule properties analyzis are based on chemoreactomic methodology – the latest direction in the application of machine learning systems in the field of postgenomic pharmacology. …”
Get full text

Enhanced Alzheimer’s Disease Prediction Through Integration of Protein-Protein Interaction Data and Meta-Learning by Hansa J. Thattil, M. N. Arunkumar, Francis Antony

“…Our approach utilized curated data from the Disease Gene Network Database (DisGeNET), a database of gene-disease associations, and protein-protein interaction data from the Search Tool for Retrieval of Interacting Genes/Proteins (STRING) dataset. We generated embeddings for Protein-Protein Interactions(PPI) using the node2vec algorithm, capturing interaction patterns in a low-dimensional space. …”
Get full text

MolNexTR: a generalized deep learning model for molecular image recognition by Yufan Chen, Ching Ting Leung, Yong Huang, Jianwei Sun, Hao Chen, Hanyu Gao

“…Abstract In the field of chemical structure recognition, the task of converting molecular images into machine-readable data formats such as SMILES string stands as a significant challenge, primarily due to the varied drawing styles and conventions prevalent in chemical literature. …”
Get full text

Construction of a novel CD8T cell-related index for predicting clinical outcomes and immune landscape in ovarian cancer by combined single-cell and RNA-sequencing analysis by Yu Zhang, Peng Wan, Liangliang Wang, Ruiping Ren

“…The TCGA-OV cohort was involved in constructing a machine learning-based CD8T cell-associated index (CCAI). …”
Get full text

Single-Cell Transcriptomics Unveils the Mechanistic Role of FOSL1 in Cutaneous Wound Healing by Jingbi Meng, Ge Zheng, Yinli Luo, Ling Ge, Zhiqing Liu, Wenhua Huang, Meitong Jin, Yanli Kong, Shanhua Xu, Zhehu Jin, Longquan Pi

“…Subsequently, we constructed Protein–Protein Interaction (PPI) networks via the STRING database. Machine learning algorithms were instrumental in identifying pivotal genes, a finding corroborated through animal modeling and Western blot analysis of tissue samples. …”
Get full text

Bioinformatics analysis for immune hub genes in BLIS subtype of triple-negative breast cancer by Hend Adel, Manal Abdel Wahed, Heba M. Afify

“…We constructed a protein–protein interaction (PPI) network with 36 genes and applied Density-Based Spatial Clustering of Applications with Noise (DBSCAN) in STRING with a high confidence threshold (0.900). Using Cytoscape based on the Matthews Correlation Coefficient (MCC) method, we identified ten hub genes with the highest network connectivity: CXCR3, CXCL10, IFNG, CCL5, CXCL9, CCR5, CX3CL1, CCL11, CCL4, and CXCL11. …”
Get full text

AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

“…Overall, this study advances the application of machine learning and network theory for identifying druggable targets across a wide range of diseases. …”
Get full text

Calculation and Experimental Study of the Dynamics of the Track Mover Bypass of a Cross-Country Transport Vehicle by Alexey I. Taratorkin, Sergey V. Abdulov, Viktor B. Derzhanskii, Alexandr A. Volkov, Evgeniy B. Sarach, Alexandr I. Komissarov

“…The article presents an analysis of the methods for studying the dynamics of the branches of the track bypass, substantiates and proposes a research methodology and a simulation spatial model of the track mover of a cross-country transport vehicle, which differs from the common string inertialess and rod inertial models of the branches of the track mover by the ability to take into account a complex set of kinematic and force factors excited during the movement of the tracked vehicle in steady and transient motion modes. …”
Get full text

Bioinformatics-based screening and validation of PANoptosis-related biomarkers in periodontitis by Qing Sun, Qing Sun, JinYue Hu, JinYue Hu, RuYue Wang, RuYue Wang, ShuiXiang Guo, ShuiXiang Guo, GeGe Zhang, GeGe Zhang, Ao Lu, Ao Lu, Xue Yang, Xue Yang, LiNa Wang, LiNa Wang

“…Protein-protein interaction (PPI) networks of these PRGs were constructed using the STRING database and visualized with Cytoscape. Subnetworks were identified using the MCODE plugin. …”
Get full text

Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer by Rui Zhang, Chunfan Jiang, Feng Li, Lin Li, Xiaomin Qin, Jiang Yang, Huabing Lv, Tao Ai, Lei Deng, Chencui Huang, Hui Xing, Feng Wu

“…Protein–protein interaction (PPI) analysis via the STRING database identified associations between these genes and T lymphocyte activity. …”
Get full text

Adipose-Derived Mesenchymal Stem Cells Accelerate Diabetic Foot Ulcer Healing by Promoting Macrophage M2 Polarization Through Downregulation of EREG and CSTA by Cao J, Zhang X, Li Z, Zhang S, Guo L, Liu Z, An W, Xu L, Li L, Long X, Yang Y

“…Protein-protein interaction (PPI) networks were constructed using STRING and Cytoscape. Machine learning and Firth regression were employed to develop a prognostic model, which was evaluated using receiver operating characteristic (ROC) curves. …”
Get full text

Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…PubMed and Scopus were searched in December 2023 for English-language reviews published post-2013 using an expanded search string from previous work on machine learning bias. …”
Get full text

Comprehensive pan-cancer analysis reveals NTN1 as an immune infiltrate risk factor and its potential prognostic value in SKCM by Fuxiang Luan, Yuying Cui, Ruizhe Huang, Zhuojie Yang, Shishi Qiao

“…We identified genes interacting with and correlated to NTN1 through STRING and GEPIA2, respectively. Subsequently, we performed GO and KEGG enrichment analyses. …”
Get full text

New Insights Into the Correlation Between Necroptotic Activation and Neutrophil Infiltration in Pulpitis by Xiaolan Guo, Xinyan Ma, Peng Liu, Xiaoxin Chen, Sitong Liu, Longrui Dang, Buling Wu, Zhao Chen

“…The STRING database analyzed CXCL8-activated neutrophil receptors, and Transwell and co-immunoprecipitation (Co-IP) validated ligand-receptor interactions. …”
Get full text

Chemoreactome prediction of anti-inflammatory, analgesic, ulcerogenic effects of the candidate molecule N-allylimidazole-zinc in comparison with zinc derivatives of nonsteroidal an... by P. A. Galenko-Yaroshevsky, A. V. Sergeeva, I. Yu. Torshin, A. N. Gromov, I. A. Reyer, O. A. Gromova, B. A. Trofimov, L. N. Parshina, R. A. Murashko, A. V. Zadorozhniy, A. V. Zelenskaya, N. S. Sergeev, Yu. V. Tovkach, O. N. Gulevskaya, I. V. Sholl

“…Chemoreactome, pharmacoinformation and chemoneurocytological methods of analyzing the molecules properties are based on chemoreactome methodology, the latest direction in the application of machine learning systems in the field of postgenomic pharmacology. …”
Get full text