The immunosuppressive role of VSIG4 in colorectal cancer and its interaction with the tumor microenvironment by H. G. Zhang, W. R. Yao, Z. Y. Zhou, L. Liu

“…Additionally, non-negative matrix factorization (NMF) was applied for subtype classification of CRC patients, and various machine learning algorithms (such as LASSO and random forest models) were utilized to identify key pathogenic genes. …”
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Investigation of the use of a sensor bracelet for the presymptomatic detection of changes in physiological parameters related to COVID-19: an interim analysis of a prospective coho... by Stefanie Aeschbacher, David Conen, Diederick E Grobbee, Raphael Twerenbold, Thomas Lung, Theo Rispens, Jakob Kjellberg, Lorenz Risch, Martin Risch, Marianna Mitratza, Harald Renz, Spiros Denaxas, Billy Franks, Diederick Grobbee, Martina Rothenbühler, Janneke Wijgert, Santiago Montes, Richard Dobson, Hans Reitsma, Christian Simon, Titia Leurink, Charisma Hehakaya, Patricia Bruijning, Kirsten Grossmann, Ornella C Weideli, Marc Kovac, Fiona Pereira, Nadia Wohlwend, Corina Risch, Dorothea Hillmann, Daniel Leibovitz, Vladimir Kovacevic, Andjela Markovic, Paul Klaver, Timo B Brakenhoff, George S Downward, Ariel Dowling, Maureen Cronin, Brianna M Goodale, Brianna Goodale, Ornella Weideli, Regien Stokman, Hans Van Dijk, Eric Houtman, Jon Bouwman, Kay Hage, Lotte Smets, Marcel van Willigen, Maui Chodura, Niki de Vink, Tessa Heikamp, Timo Brakenhoff, Wendy van Scherpenzeel, Wout Aarts, Alison Kuchta, Antonella Chiucchiuini, Steve Emby, Annemarijn Douwes, George Downward, Nathalie Vigot, Pieter Stolk, Duco Veen, Daniel Oberski, Amos Folarin, Pablo Fernandez Medina, Eskild Fredslund

“…Our proposed RNN algorithm identified 68% of COVID-19 positive participants 2 days prior to SO and will be further trained and validated in a randomised, single-blinded, two-period, two-sequence crossover trial.Trial registration numberISRCTN51255782; Pre-results.…”
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Deviance sensitivity in the auditory cortex of freely moving rats. by Ana Polterovich, Maciej M Jankowski, Israel Nelken

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Simulation modelling of single nucleotide genetic polymorphisms by Николай Николаевич Яцков, Владимир Владимирович Апанасович, Василий Викторович Гринев

“…We propose an approach for the identification of single nucleotide polymorphisms (SNPs) in DNA sequences, based on the simulation modelling of sites of single nucleotides using the generation of random events according to the beta or normal distributions, the parameters of which are estimated from the available experimental data. …”
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Exploring Monte Carlo Negotiation Search with Nontrivial Agreements by Elijah Alden Malaby, John Licato

“…We demonstrate significant improvement of our algorithm over random agreement sampling, although further work is required to more consistently produce optimal agreements.…”
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Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome by Jia-Wei Tang, Alfred Chin Yen Tay, Liang Wang

“…In this study, 16S rRNA sequencing data from stool samples of 233 patients were thoroughly collected. …”
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Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights. by Jincan Li, Shengyue Wang

“…LSC17 scores were calculated using a validated 17-gene expression signature. A random survival forest model was developed integrating molecular features with LSC17 scores, validated across all cohorts. …”
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Coordinated Scheduling for Zero-Wait RGV/ASR Warehousing Systems with Finite Buffers by Wenbin Gu, Na Tang, Lei Wang, Zhenyang Guo, Yushang Cao, Minghai Yuan

“…Additionally, in 15 randomized test scenarios, AMHS demonstrated superior performance over three benchmark algorithms—Genetic Algorithm (GA), Discrete Imperialist Competitive Algorithm (DICA), and Improved Whale Optimization Algorithm (IWOA)—achieving an average makespan reduction of 12.6% relative to GA.…”
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Fast and Robust Image Encryption Scheme Based on Quantum Logistic Map and Hyperchaotic System by Nehal Abd El-Salam Mohamed, Aliaa Youssif, Hala Abdel-Galil El-Sayed

“…Next, it diffuses the plain image by the random sequences generated by 3D hyperchaotic system, and the diffusion process is realized by implementing XOR operation. …”
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Superimposed Training-Based Channel Estimation for MIMO Relay Networks by Xiaoyan Xu, Jianjun Wu, Shubo Ren, Lingyang Song, Haige Xiang

“…A specific suboptimal channel estimation algorithm is applied in the MIMO AF OWRN using the optimal training sequences, and the normalized mean square error performance for the estimation is provided to verify the Bayesian CRLB results.…”
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Transcriptomic profiling of blood from autoimmune hepatitis patients reveals potential mechanisms with implications for management. by Michele May-Sien Tana, Arielle Klepper, Amy Lyden, Angela Oliveira Pisco, Maira Phelps, Breann McGee, Kelsey Green, Sandy Feng, Joseph DeRisi, Emily Dawn Crawford, Craig S Lammert

“…Using a random forest algorithm, we determined that less than 10 genes were sufficient to differentiate the two groups in our cohort. …”
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A reproducible approach for the use of aptamer libraries for the identification of Aptamarkers for brain amyloid deposition based on plasma analysis. by Cathal Meehan, Soizic Lecocq, Gregory Penner

“…This method involved the use of a newly designed aptamer library with sixteen random nucleotides interspersed with fixed sequences called a Neomer library. …”
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Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling by Lei Wang, Wenjun Song, Jiali Di, Xuncai Zhang, Chengye Zou

“…To further improve randomness, DNA encoding is applied to both the image and chaotic sequences, with chaotic sequences directing crossover and DNA operations. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…For this purpose, 30 instance problems are randomly generated and six indicators are used to compare the algorithms. …”
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The classification method of donkey breeds based on SNPs data and machine learning by Dekui Li, Dekui Li, Xiaolong Hu, Yongdong Peng

“…A method for accurately classifying donkey breeds has been developed by integrating single nucleotide polymorphism (SNPs) data with machine learning algorithms. The approach includes preprocessing donkey genomic sequencing data, addressing data imbalance with the Synthetic Minority Over-sampling Technique (SMOTE), and utilizing an improved Leave-One-Out Cross-Validation (LOOCV) for dataset partitioning. …”
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Camera Pose Generation Based on Unity3D by Hao Luo, Wenjie Luo, Wenzhu Yang

“…Aiming at the problems regarding the capacity of cameras to comprehensively capture scene objects, this study presents an enhanced algorithm based on rapidly exploring random tree star (RRT*) for the generation of camera poses in a 3D indoor scene. …”
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Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve by Shu Ding, Wenyan Li, Xianglei Xiong, Manfei Si, Chuyu Yun, Yuqian Wang, Lixuan Huang, Sen Yan, Xiumei Zhen, Jie Qiao, Xinyu Qi

“…Then, we constructed a diagnostic model for DOR using the random forest algorithm based on five different BAs. …”
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Noninvasive prediction of meningioma brain invasion via multiparametric MRI⁃based brain⁃tumor interface radiomics by CHENG Xing, WANG Zhi⁃chao, LI Hua⁃ning, WANG Xie⁃feng, YOU Yong⁃ping

“…Six machine learning (ML) algorithms, including light gradient boosting machine (LightGBM), Logistic regression (LR), multilayer perceptron (MLP), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost) were utilized to build predictive models. …”
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Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning by ZhanQiang Xie, YongLi Situ, Li Deng, Meng Liang, Hang Ding, Zhen Guo, QinYing Xu, Zhu Liang, Zheng Shao

“…This study aimed to identify potential therapeutic targets for the treatment of AD using comprehensive bioinformatics methods and machine learning algorithms. By integrating differential gene expression analysis, weighted gene co-expression network analysis, Mfuzz clustering, single-cell RNA sequencing, and machine learning algorithms including LASSO regression, SVM-RFE, and random forest, five hub genes related to AD, including PLCB1, NDUFAB1, KRAS, ATP2A2, and CALM3 were identified. …”
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Genetic detection of Theileria annulata from Bos taurus and Bubalus bubalis during health surveillance at marsh breeders' farm in Basra Marshes, Iraq. by Noor Hammed, Majid Bannai, Muna Jori

“…The results were then compared to international isolates via an analysis of genetic nucleotide sequences using the Basic Local Alignment Search Tool (BLASTn) algorithm, available at the National Center for Biotechnology Information (NCBI). …”
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