المؤلفون: Ophélie Lo-Thong-Viramoutou, Philippe Charton, Xavier F. Cadet, Brigitte Grondin-Perez, Emma Saavedra, Cédric Damour, Frédéric Cadet

المصدر: Frontiers in Artificial Intelligence, Vol 5 (2022)

مصطلحات موضوعية: artificial intelligence, machine learning, non-linear modeling, drug target identification, Trypanosoma cruzi detoxification pathway, Entamoeba histolytica glycolysis pathway, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/frai.2022.744755/fullTest; https://doaj.org/toc/2624-8212Test

الوصول الحر: https://doaj.org/article/5e2368f34bbc4da9a09e2e2edb1c0a96Test

المؤلفون: Lo-Thong-Viramoutou, Ophélie, Charton, Philippe, Cadet, Xavier, F, Grondin-Perez, Brigitte, Saavedra, Emma, Damour, Cédric, Cadet, Frédéric

المساهمون: Dynamique des Structures et Interactions des Macromolécules Biologiques (DSIMB), Biologie Intégrée du Globule Rouge (BIGR (UMR_S_1134 / U1134)), Institut National de la Transfusion Sanguine Paris (INTS)-Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre / Abymes Guadeloupe -Université des Antilles (UA)-Université Paris Cité (UPCité)-Institut National de la Transfusion Sanguine Paris (INTS)-Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre / Abymes Guadeloupe -Université des Antilles (UA)-Université Paris Cité (UPCité), Institut National de la Transfusion Sanguine Paris (INTS)-Université de La Réunion (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pointe-à-Pitre / Abymes Guadeloupe -Université des Antilles (UA)-Université Paris Cité (UPCité), Laboratoire d'Excellence : Biogenèse et pathologies du globule rouge (Labex Gr-Ex), Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Protein Engineering Accelerator Paris (PEACCEL), Energy Lab (ENERGY Lab), Université de La Réunion (UR), Instituto Nacional de Cardiologia Ignacio Chavez

المصدر: ISSN: 2624-8212 ; Frontiers in Artificial Intelligence ; https://hal.science/hal-03874401Test ; Frontiers in Artificial Intelligence, 2022, 5, pp.744755. ⟨10.3389/frai.2022.744755⟩.

مصطلحات موضوعية: Entamoeba histolytica glycolysis pathway, Trypanosoma cruzi detoxification pathway, artificial intelligence, drug target identification, machine learning, non-linear modeling, penicillin production, [SDV]Life Sciences [q-bio]

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/35757298; hal-03874401; https://hal.science/hal-03874401Test; https://hal.science/hal-03874401/documentTest; https://hal.science/hal-03874401/file/frai-05-744755.pdfTest; PUBMED: 35757298; PUBMEDCENTRAL: PMC9226554

الإتاحة: https://doi.org/10.3389/frai.2022.744755Test
https://hal.science/hal-03874401Test
https://hal.science/hal-03874401/documentTest
https://hal.science/hal-03874401/file/frai-05-744755.pdfTest

المؤلفون: Ophélie Lo-Thong-Viramoutou, Philippe Charton, Xavier F. Cadet, Brigitte Grondin-Perez, Emma Saavedra, Cédric Damour, Frédéric Cadet

مصطلحات موضوعية: Artificial Intelligence and Image Processing, Knowledge Representation and Machine Learning, Applied Statistics, Computational Linguistics, artificial intelligence, machine learning, non-linear modeling, drug target identification, Trypanosoma cruzi detoxification pathway, Entamoeba histolytica glycolysis pathway, penicillin production

العلاقة: https://figshare.com/articles/dataset/Table_3_Non-linearity_of_Metabolic_Pathways_Critically_Influences_the_Choice_of_Machine_Learning_Model_XLSX/20046320Test

الإتاحة: https://doi.org/10.3389/frai.2022.744755.s004Test
https://figshare.com/articles/dataset/Table_3_Non-linearity_of_Metabolic_Pathways_Critically_Influences_the_Choice_of_Machine_Learning_Model_XLSX/20046320Test

المؤلفون: Ophélie Lo-Thong-Viramoutou, Philippe Charton, Xavier F. Cadet, Brigitte Grondin-Perez, Emma Saavedra, Cédric Damour, Frédéric Cadet

مصطلحات موضوعية: Artificial Intelligence and Image Processing, Knowledge Representation and Machine Learning, Applied Statistics, Computational Linguistics, artificial intelligence, machine learning, non-linear modeling, drug target identification, Trypanosoma cruzi detoxification pathway, Entamoeba histolytica glycolysis pathway, penicillin production

العلاقة: https://figshare.com/articles/dataset/Data_Sheet_1_Non-linearity_of_Metabolic_Pathways_Critically_Influences_the_Choice_of_Machine_Learning_Model_pdf/20046311Test

الإتاحة: https://doi.org/10.3389/frai.2022.744755.s001Test
https://figshare.com/articles/dataset/Data_Sheet_1_Non-linearity_of_Metabolic_Pathways_Critically_Influences_the_Choice_of_Machine_Learning_Model_pdf/20046311Test