Application of statistical machine learning in biomarker selection

Tekijä Vashistha, Ritwik, Noor, Zubdahe, Dasgupta, Shibasish, Pu, Jie, Deng, Shibing
Julkaistu 2023

Statistical Machine Learning for Human Behaviour Analysis

Tekijä Moeslund, Thomas B., Escalera, Sergio, Anbarjafari, Gholamreza, Nasrollahi, Kamal, Wan, Jun
Julkaistu 2020

Statistical Machine-Learning Methods for Genomic Prediction Using the SKM Library

Tekijä Montesinos López, Osval A., Mosqueda González, Brandon Alejandro, Montesinos López, Abelardo, Crossa, José
Julkaistu 2023

Identifying Effective Biomarkers for Accurate Pancreatic Cancer Prognosis Using Statistical Machine Learning

Tekijä Abu-Khudir, Rasha, Hafsa, Noor, Badr, Badr E.
Julkaistu 2023

Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

Tekijä Webb, Samuel J, Hanser, Thierry, Howlin, Brendan, Krause, Paul, Vessey, Jonathan D
Julkaistu 2014

Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control

Tekijä Adeleke, Jude Adekunle, Moodley, Deshendran, Rens, Gavin, Adewumi, Aderemi Oluyinka
Julkaistu 2017

Statistical machine learning for comparative protein dynamics with the DROIDS/maxDemon software pipeline

Tekijä Babbitt, Gregory A., Fokoue, Ernest P., Srivastava, Harsh R., Callahan, Breanna, Rajendran, Madhusudan
Julkaistu 2022

Statistical machine learning forecasting simulation for discipline prediction and cost estimation of COVID-19 pandemic

Tekijä Ghosh, Papri, Dutta, Ritam
Julkaistu 2021

Challenges in the Analysis of Mass-Throughput Data: A Technical Commentary from the Statistical Machine Learning Perspective

Tekijä Aliferis, Constantin F., Statnikov, Alexander, Tsamardinos, Ioannis
Julkaistu 2007

Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework

Tekijä Vogel, Adam P., Tsanas, Athanasios, Scattoni, Maria Luisa
Julkaistu 2019

TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization

Tekijä Cao, Xuewei, Zhang, Ling, Islam, Md Khairul, Zhao, Mingxia, He, Cheng, Zhang, Kui, Liu, Sanzhen, Sha, Qiuying, Wei, Hairong
Julkaistu 2023

Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine

Tekijä Wang, Kevin Y. X., Pupo, Gulietta M., Tembe, Varsha, Patrick, Ellis, Strbenac, Dario, Schramm, Sarah-Jane, Thompson, John F., Scolyer, Richard A., Muller, Samuel, Tarr, Garth, Mann, Graham J., Yang, Jean Y. H.
Julkaistu 2022

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Tekijä Willetts, Matthew, Hollowell, Sven, Aslett, Louis, Holmes, Chris, Doherty, Aiden
Julkaistu 2018

Spatial statistical machine learning models to assess the relationship between development vulnerabilities and educational factors in children in Queensland, Australia

Tekijä Draidi Areed, Wala, Price, Aiden, Arnett, Kathryn, Mengersen, Kerrie
Julkaistu 2022

Author Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

Tekijä Willetts, Matthew, Hollowell, Sven, Aslett, Louis, Holmes, Chris, Doherty, Aiden
Julkaistu 2022

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning

Tekijä Hasan, Md. Al Mehedi, Maniruzzaman, Md., Shin, Jungpil
Julkaistu 2023

Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods

Tekijä Chu, Chu, Wang, Haitong, Luo, Xuelu, Wen, Peipei, Nan, Liangkang, Du, Chao, Fan, Yikai, Gao, Dengying, Wang, Dongwei, Yang, Zhuo, Yang, Guochang, Liu, Li, Li, Yongqing, Hu, Bo, Abula, Zunongjiang, Zhang, Shujun
Julkaistu 2023

Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach

Tekijä Mohan, Sumit, Solanki, Anil Kumar, Taluja, Harish Kumar, Anuradha, Singh, Anuj
Julkaistu 2022

Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)

Tekijä ArunKumar, K.E., Kalaga, Dinesh V., Sai Kumar, Ch. Mohan, Chilkoor, Govinda, Kawaji, Masahiro, Brenza, Timothy M.
Julkaistu 2021

Applications of Metabolomics in Forensic Toxicology and Forensic Medicine

Tekijä Szeremeta, Michal, Pietrowska, Karolina, Niemcunowicz-Janica, Anna, Kretowski, Adam, Ciborowski, Michal
Julkaistu 2021