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Random forest algorithm for predicting tobacco use and identifying determinants among pregnant women in 26 sub-Saharan African countries: a 2024 analysis
Taye, Eliyas Addisu, Woubet, Eden Yitbarek, Hailie, Gabrela Yimer, Zegeye, Adem Tsegaw, Arage, Fetlework Gubena, Zerihun, Tigabu Eskeziya, Kassaw, Abel Temeche
Published in BMC public health (23.04.2025)
Published in BMC public health (23.04.2025)
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Journal Article
Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis
Taye, Eliyas Addisu, Woubet, Eden Yitbarek, Hailie, Gabrela Yimer, Arage, Fetlework Gubena, Zerihun, Tigabu Eskeziya, Zegeye, Adem Tsegaw, Zeleke, Tarekegn Cheklie, Kassaw, Abel Temeche
Published in BMC public health (06.03.2025)
Published in BMC public health (06.03.2025)
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Journal Article
Predicting home delivery and identifying its determinants among women aged 15–49 years in sub-Saharan African countries using a Demographic and Health Surveys 2016–2023: a machine learning algorithm
Zegeye, Adem Tsegaw, Tilahun, Binyam Chaklu, Fekadie, Makida, Addisu, Eliyas, Wassie, Birhan, Alelign, Berihun, Sharew, Mequannet, Baykemagn, Nebebe Demis, Kebede, Abdulaziz, Yehuala, Tirualem Zeleke
Published in BMC public health (24.01.2025)
Published in BMC public health (24.01.2025)
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Journal Article
SPOTting Model Parameters Using a Ready-Made Python Package
Houska, Tobias, Kraft, Philipp, Chamorro-Chavez, Alejandro, Breuer, Lutz
Published in PloS one (17.12.2015)
Published in PloS one (17.12.2015)
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Journal Article
Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS
Johnson, Jeanette A. I., Tsang, Ashley P., Mitchell, Jacob T., Zhou, David L., Bowden, Julia, Davis-Marcisak, Emily, Sherman, Thomas, Liefeld, Ted, Loth, Melanie, Goff, Loyal A., Zimmerman, Jacquelyn W., Kinny-Köster, Ben, Jaffee, Elizabeth M., Tamayo, Pablo, Mesirov, Jill P., Reich, Michael, Fertig, Elana J., Stein-O’Brien, Genevieve L.
Published in Nature protocols (01.12.2023)
Published in Nature protocols (01.12.2023)
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Journal Article
PHOTONAI—A Python API for rapid machine learning model development
Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim
Published in PloS one (21.07.2021)
Published in PloS one (21.07.2021)
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Journal Article
A transcriptomic study for identifying cardia‐ and non–cardia‐specific gastric cancer prognostic factors using genetic algorithm‐based methods
Xin, Junyi, Wu, Yanling, Wang, Xiaowei, Li, Shuwei, Chu, Haiyan, Wang, Meilin, Du, Mulong, Zhang, Zhengdong
Published in Journal of cellular and molecular medicine (01.08.2020)
Published in Journal of cellular and molecular medicine (01.08.2020)
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Journal Article
Biotite: new tools for a versatile Python bioinformatics library
Kunzmann, Patrick, Müller, Tom David, Greil, Maximilian, Krumbach, Jan Hendrik, Anter, Jacob Marcel, Bauer, Daniel, Islam, Faisal, Hamacher, Kay
Published in BMC bioinformatics (05.06.2023)
Published in BMC bioinformatics (05.06.2023)
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Journal Article
Procrustes: A python library to find transformations that maximize the similarity between matrices
Meng, Fanwang, Richer, Michael, Tehrani, Alireza, La, Jonathan, Kim, Taewon David, Ayers, Paul W., Heidar-Zadeh, Farnaz
Published in Computer physics communications (01.07.2022)
Published in Computer physics communications (01.07.2022)
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