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Python code for modeling ARIMA-LSTM architecture with random forest algorithm
Lama, Achal, Ray, Soumik, Biswas, Tufleuddin, Narsimhaiah, Lakshmi, Raghav, Yashpal Singh, Kapoor, Promil, Singh, K.N., Mishra, Pradeep, Gurung, Bishal
Published in Software impacts (01.05.2024)
Published in Software impacts (01.05.2024)
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Journal Article
Local Asymmetric Gaussian Fitting Algorithm for Enhanced Peak Detection of Liquid Chromatography–High Resolution Mass Spectrometry Data
Zou, Shengsi, Cui, Qingxiao, Liu, Jinyue, Wu, Qiong, Zhu, Lijia, Chen, Da, Du, Yiping, Wu, Ting
Published in Analytical chemistry (Washington) (27.05.2025)
Published in Analytical chemistry (Washington) (27.05.2025)
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Journal Article
Correction: A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference: Pankaj Sharma
Salgotra, Rohit, Sharma, Pankaj, Raju, Saravanakumar, gandomi, Amir H.
Published in Archives of computational methods in engineering (24.12.2024)
Published in Archives of computational methods in engineering (24.12.2024)
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Journal Article
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul
Published in Nature methods (01.03.2020)
Published in Nature methods (01.03.2020)
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Journal Article
Peel learning for pathway-related outcome prediction
Li, Yuantong, Wang, Fei, Yan, Mengying, Cantu III, Edward, Yang, Fan Nils, Rao, Hengyi, Feng, Rui
Published in Bioinformatics (Oxford, England) (18.11.2021)
Published in Bioinformatics (Oxford, England) (18.11.2021)
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Journal Article
Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code
Michaud, Eric J., Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max
Published in Entropy (Basel, Switzerland) (02.12.2024)
Published in Entropy (Basel, Switzerland) (02.12.2024)
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Journal Article
scTPC: a novel semisupervised deep clustering model for scRNA-seq data
Qiu, Yushan, Yang, Lingfei, Jiang, Hao, Zou, Quan
Published in Bioinformatics (Oxford, England) (02.05.2024)
Published in Bioinformatics (Oxford, England) (02.05.2024)
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Journal Article
GSEApy: a comprehensive package for performing gene set enrichment analysis in Python
Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary
Published in Bioinformatics (Oxford, England) (01.01.2023)
Published in Bioinformatics (Oxford, England) (01.01.2023)
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Journal Article
KF-NIPT: K-mer and fetal fraction-based estimation of chromosomal anomaly from NIPT data
Kim, Dongin, Sohn, Ji Yeon, Cho, Jin Hee, Choi, Ji-Hye, Oh, Gwi-young, Woo, Hyun Goo
Published in BMC bioinformatics (22.05.2025)
Published in BMC bioinformatics (22.05.2025)
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Journal Article
pyOpenMS: A Python-based interface to the OpenMS mass-spectrometry algorithm library
Röst, Hannes L., Schmitt, Uwe, Aebersold, Ruedi, Malmström, Lars
Published in Proteomics (Weinheim) (01.01.2014)
Published in Proteomics (Weinheim) (01.01.2014)
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Journal Article
gmxapi: A GROMACS-native Python interface for molecular dynamics with ensemble and plugin support
Irrgang, M. Eric, Davis, Caroline, Kasson, Peter M.
Published in PLoS computational biology (01.02.2022)
Published in PLoS computational biology (01.02.2022)
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Journal Article
Pytim: A python package for the interfacial analysis of molecular simulations
Sega, Marcello, Hantal, György, Fábián, Balázs, Jedlovszky, Pál
Published in Journal of computational chemistry (30.09.2018)
Published in Journal of computational chemistry (30.09.2018)
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Journal Article
Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database
Inaguma, Daijo, Kitagawa, Akimitsu, Yanagiya, Ryosuke, Koseki, Akira, Iwamori, Toshiya, Kudo, Michiharu, Yuzawa, Yukio
Published in PLoS ONE (17.09.2020)
Published in PLoS ONE (17.09.2020)
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Journal Article