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收藏Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence-Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study聚合酶链反应。微扰理论和机器学习人工智能-实验微生物组分析: 在古代DNA和树木土壤宏基因组学中的应用研究案例
Rodriguez, Jose L.; Ascencio, Estefania; Ageitos, Jose M.; Feijoo, Lucia; He, Shan; Daghighi, Amirreza; Casanola-Martin, Gerardo M.; Munteanu, Cristian R.; Yanez, Santiago Rodriguez; Pazos, Alejandro; Bediaga, Harbil; Ordiales, Brenda Durand; Esteban, Raquel; Heres, Ana-maria; Yuste, Jorge Curiel; Epelde, Lur; Rasulev, Bakhtiyor; Gonzalez, Tomas; Arrasate, Sonia; Gonzalez-Diaz, Humberto 分享 收藏 分享 收藏 Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling药物释放纳米颗粒系统设计: 数据集编译和机器学习建模He, S; Barón, A; Munteanu, CR; de Bilbao, B; Casañola-Martin, GM; Chelu, M; Musuc, AM; Bediaga, H; Ascencio, E; Castellanos-Rubio, I; Arrasate, S; Pazos, A; Insausti, M; Rasulev, B; González-Díaz, H 分享 收藏 Machine learning guided prediction of warfarin blood levels for personalized medicine based on clinical longitudinal data from cardiac surgery patients: a prospective observational studyXue, Ling; He, Shan; Singla, Rajeev K.; Qin, Qiong; Ding, Yinglong; Liu, Linsheng; Ding, Xiaoliang; Bediaga-Baneres, Harbil; Arrasate, Sonia; Durado-Sanchez, Aliuska; Zhang, Yuzhen; Shen, Zhenya; Shen, Bairong; Miao, Liyan; Gonzalez-Diaz, Humberto 分享 收藏 分享 收藏 Identification of Riluzole derivatives as novel calmodulin inhibitors with neuroprotective activity by a joint synthesis, biosensor, and computational guided strategyBaltasar-Marchueta, Maider; Llona, Leire; M-Alicante, Sara; Barbolla, Iratxe; Ibarluzea, Markel Garcia; Ramis, Rafael; Salomon, Ane Miren; Fundora, Brenda; Araujo, Ariane; Muguruza-Montero, Arantza; Nunez, Eider; Perez-Olea, Scarlett; Villanueva, Christian; Leonardo, Aritz; Arrasate, Sonia; Sotomayor, Nuria; Villarroel, Alvaro; Bergara, Aitor; Lete, Esther; Gonzalez-Diaz, Humberto 分享 收藏 分享 收藏 分享 收藏 OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic ResiduesLarrea-Sebal, Asier; Sasiain, Inaki; Jebari-Benslaiman, Shifa; Galicia-Garcia, Unai; Uribe, Kepa B.; Benito-Vicente, Asier; Gracia-Rubio, Irene; Bediaga-Baneres, Harbil; Arrasate, Sonia; Cenarro, Ana; Civeira, Fernando; Gonzalez-Diaz, Humberto; Martin, Cesar 分享 收藏 Prediction of Antileishmanial Compounds: General Model, Preparation, and Evaluation of 2-Acylpyrrole DerivativesSantiago, Carlos; Ortega-Tenezaca, Bernabe; Barbolla, Iratxe; Fundora-Ortiz, Brenda; Arrasate, Sonia; Auxiliadora Dea-Ayuela, Maria; Gonzalez-Diaz, Humberto; Sotomayor, Nuria; Lete, Esther 分享 收藏 分享 收藏 MLb-LDLr A Machine Learning Model for Predicting the Pathogenicity of LDLr Missense VariantsLarrea-Sebal, Asier; Benito-Vicente, Asier; Fernandez-Higuero, Jose A.; Jebari-Benslaiman, Shifa; Galicia-Garcia, Unai; Uribe, Kepa B.; Cenarro, Ana; Ostolaza, Helena; Civeira, Fernando; Arrasate, Sonia; Gonzalez-Diaz, Humberto; Martin, Cesar 分享 收藏 Palladium-mediated synthesis and biological evaluation of C-10b substituted Dihydropyrrolo[1,2-b]isoquinolines as antileishmanial agentsBarbolla, Iratxe; Hernandez-Suarez, Leidi; Quevedo-Tumailli, Viviana; Nocedo-Mena, Deyani; Arrasate, Sonia; Dea-Ayuela, Maria Auxiliadora; Gonzalez-Diaz, Humberto; Sotomayor, Nuria; Lete, Esther 分享 收藏 Synthesis, Pharmacological, and Biological Evaluation of 2-FuroylBased MIF-1 Peptidomimetics and the Development of a GeneralPurpose Model for Allosteric Modulators (ALLOPTML)Sampaio-Dias, Ivo E.; Rodriguez-Borges, Jose E.; Yanez-Perez, Victor; Arrasate, Sonia; Llorente, Javier; Brea, Jose M.; Bediaga, Harbil; Vina, Dolores; Isabel Loza, Maria; Caamano, Olga; Garcia-Mera, Xerardo; Gonzalez-Diaz, Humberto 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 
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