Application of statistical machine learning in biomarker selection

Autor Vashistha, Ritwik, Noor, Zubdahe, Dasgupta, Shibasish, Pu, Jie, Deng, Shibing
Vydáno 2023

Statistical Machine Learning for Human Behaviour Analysis

Autor Moeslund, Thomas B., Escalera, Sergio, Anbarjafari, Gholamreza, Nasrollahi, Kamal, Wan, Jun
Vydáno 2020

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

Autor Montesinos López, Osval A., Mosqueda González, Brandon Alejandro, Montesinos López, Abelardo, Crossa, José
Vydáno 2023

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

Autor Abu-Khudir, Rasha, Hafsa, Noor, Badr, Badr E.
Vydáno 2023

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

Autor Webb, Samuel J, Hanser, Thierry, Howlin, Brendan, Krause, Paul, Vessey, Jonathan D
Vydáno 2014

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

Autor Adeleke, Jude Adekunle, Moodley, Deshendran, Rens, Gavin, Adewumi, Aderemi Oluyinka
Vydáno 2017

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

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

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

Autor Ghosh, Papri, Dutta, Ritam
Vydáno 2021

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

Autor Aliferis, Constantin F., Statnikov, Alexander, Tsamardinos, Ioannis
Vydáno 2007

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

Autor Vogel, Adam P., Tsanas, Athanasios, Scattoni, Maria Luisa
Vydáno 2019

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

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

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

Autor 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.
Vydáno 2022

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

Autor Willetts, Matthew, Hollowell, Sven, Aslett, Louis, Holmes, Chris, Doherty, Aiden
Vydáno 2018

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

Autor Draidi Areed, Wala, Price, Aiden, Arnett, Kathryn, Mengersen, Kerrie
Vydáno 2022

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

Autor Willetts, Matthew, Hollowell, Sven, Aslett, Louis, Holmes, Chris, Doherty, Aiden
Vydáno 2022

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

Autor Hasan, Md. Al Mehedi, Maniruzzaman, Md., Shin, Jungpil
Vydáno 2023

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

Autor 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
Vydáno 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

Autor Mohan, Sumit, Solanki, Anil Kumar, Taluja, Harish Kumar, Anuradha, Singh, Anuj
Vydáno 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)

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

Applications of Metabolomics in Forensic Toxicology and Forensic Medicine

Autor Szeremeta, Michal, Pietrowska, Karolina, Niemcunowicz-Janica, Anna, Kretowski, Adam, Ciborowski, Michal
Vydáno 2021