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34 p, 19.3 MB |
A compendium of genetic regulatory effects across pig tissues
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Teng, Jinyan (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Gao, Yahui (University of Maryland. Department of Animal and Avian Sciences) ;
Yin, Hongwei (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Bai, Zhonghao (The University of Edinburgh) ;
Liu, Shuli (Westlake University) ;
Zeng, Haonan (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Bai, Lijing (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Cai, Zexi (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Zhao, Bingru (China Agricultural University) ;
Li, Xiujin (Zhongkai University of Agriculture and Engineering) ;
Xu, Zhiting (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Lin, Qing (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Pan, Zhangyuan (Chinese Academy of Agricultural Sciences. Institute of Animal Science) ;
Yang, Wenjing (University of California, Davis. Department of Animal Science) ;
Yu, Xiaoshan (The University of Edinburgh. MRC Human Genetics Unit at the Institute of Genetics and Cancer) ;
Guan, Dailu (University of California. Department of Animal Science) ;
Hou, Yali (Chinese Academy of Sciences and China National Center for Bioinformation) ;
Keel, Brittney N. (U.S. Meat Animal Research Center) ;
Rohrer, Gary A. (U.S. Meat Animal Research Center) ;
Lindholm-Perry, Amanda K. (U.S. Meat Animal Research Center) ;
Oliver, William T. (U.S. Meat Animal Research Center) ;
Ballester Devis, Maria (Unitat mixta d'investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal) ;
Crespo-Piazuelo, Daniel (Unitat mixta d'investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal) ;
Quintanilla, Raquel (Unitat mixta d'investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal) ;
Canela-Xandri, Oriol (University of Edinburgh) ;
Rawlik, Konrad (University of Edinburgh. Baillie Gifford Pandemic Science Hub) ;
Xia, Charley (University of Edinburgh. Department of Psychology) ;
Yao, Yuelin (University of Edinburgh) ;
Zhao, Qianyi (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Yao, Wenye (Wageningen University and Research) ;
Yang, Liu (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Li, Houcheng (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Zhang, Huicong (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Liao, Wang (The University of Edinburgh. Human Genetics Unit at the Institute of Genetics and Cancer) ;
Chen, Tianshuo (The University of Edinburgh. Human Genetics Unit at the Institute of Genetics and Cancer) ;
Karlskov-Mortensen, Peter (University of Copenhagen. Department of Veterinary and Animal Sciences) ;
Fredholm, Merete (University of Copenhagen. Department of Veterinary and Animal Sciences) ;
Amills i Eras, Marcel (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ;
Clop, Alex (Consejo Superior de Investigaciones Científicas) ;
Giuffra, Elisabetta (Paris-Saclay University) ;
Wu, Jun (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Cai, Xiaodian (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Diao, Shuqi (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Pan, Xiangchun (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Wei, Chen (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Li, Jinghui (University of California, Davis. Department of Animal Science) ;
Cheng, Hao (University of California, Davis. Department of Animal Science) ;
Wang, Sheng (Chinese Academy of Sciences. Kunming Institute of Zoology) ;
Su, Guosheng (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Sahana, Goutam (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Lund, Mogens Sandø (Aarhus University. Center for Quantitative Genetics and Genomics) ;
Dekkers, Jack C. M. (Iowa State University. Department of Animal Science) ;
Kramer, Luke (Iowa State University. Department of Animal Science) ;
Tuggle, Christopher K. (Iowa State University. Department of Animal Science) ;
Corbett, Ryan (Iowa State University. Department of Animal Science) ;
Groenen, Martien A. M. (Wageningen University and Research. Animal Breeding and Genomics) ;
Madsen, Ole (Wageningen University and Research. Animal Breeding and Genomics) ;
Gòdia, Marta (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments) ;
Rocha, Dominique (Paris-Saclay University) ;
Charles, Mathieu (Paris-Saclay University) ;
Li, Cong-jun (Henry A. Wallace Beltsville Agricultural Research Center) ;
Pausch, Hubert (Animal Genomics) ;
Hu, Xiaoxiang (China Agricultural University. State Key Laboratory of Agrobiotechnology) ;
Frantz, Laurent (Queen Mary University of London. School of Biological and Behavioural Sciences) ;
Luo, Yonglun (Qingdao-Europe Advanced Institute for Life Sciences. Lars Bolund Institute of Regenerative Medicine) ;
Lin, Lin (Aarhus University Hospital. Steno Diabetes Center Aarhus) ;
Zhou, Zhongyin (Chinese Academy of Sciences. Kunming Institute of Zoology) ;
Zhang, Zhe (Zhejiang University. Department of Animal Science) ;
Chen, Zitao (Zhejiang University. Department of Animal Science) ;
Cui, Leilei (University College London. UCL Genetics Institute) ;
Xiang, Ruidong (Centre for AgriBiosciences) ;
Shen, Xia (University of Edinburgh. Centre for Global Health Research) ;
Li, Pinghua (Nanjing Agricultural University. Institute of Swine Science) ;
Huang, Ruihua (Nanjing Agricultural University. Institute of Swine Science) ;
Tang, Guoqing (Sichuan Agricultural University. Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province) ;
Li, Mingzhou (Sichuan Agricultural University. Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province) ;
Zhao, Yunxiang (Guangxi University. College of Animal Science and Technology) ;
Yi, Guoqiang (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Tang, Zhonglin (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Jiang, Jicai (North Carolina State University. Department of Animal Science) ;
Zhao, Fuping (Chinese Academy of Agricultural Sciences. Institute of Animal Science) ;
Yuan, Xiaolong (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Liu, Xiaohong (Sun Yat-sen University. State Key Laboratory of Biocontrol) ;
Chen, Yaosheng (Sun Yat-sen University. State Key Laboratory of Biocontrol) ;
Xu, Xuewen (Huazhong Agricultural University. Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction) ;
Zhao, Shuhong (Huazhong Agricultural University. Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction) ;
Zhao, Pengju (Hainan Institute, Zhejiang University) ;
Haley, Chris (The University of Edinburgh. Royal (Dick) School of Veterinary Studies) ;
Zhou, Huaijun (University of California. Department of Animal Science) ;
Wang, Qishan (Zhejiang University. Department of Animal Science) ;
Pan, Yuchun (Zhejiang University. Department of Animal Science) ;
Ding, Xiangdong (China Agricultural University. College of Animal Science and Technology) ;
Ma, Li (University of Maryland. Department of Animal and Avian Sciences) ;
Li, Jiaqi (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Navarro, Pau (The University of Edinburgh. Royal (Dick) School of Veterinary Studies) ;
Zhang, Qin (Shandong Agricultural University. College of Animal Science and Technology) ;
Li, Bingjie (Scotland's Rural College. Roslin Institute Building) ;
Tenesa, Albert (The University of Edinburgh. Royal (Dick) School of Veterinary Studies) ;
Li, Kui (Chinese Academy of Agricultural Sciences. Agricultural Genomics Institute at Shenzhen) ;
Liu, George E. (U.S. Department of Agriculture) ;
Zhang, Zhe (South China Agricultural University. National Engineering Research Center for Breeding Swine Industry) ;
Fang, Lingzhao (The University of Edinburgh. MRC Human Genetics Unit at the Institute of Genetics and Cancer)
The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. [...]
2024 -  10.1038/s41588-023-01585-7
Nature genetics, Vol. 56 (january 2024) , p. 112-123
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14 p, 1.9 MB |
Data mining analyses for precision medicine in acromegaly : a proof of concept
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Gil, Joan (Institut d'Investigació Biomèdica Sant Pau) ;
Marques-Pamies, Montserrat (Institut Germans Trias i Pujol) ;
Sampedro, Miguel (Hospital Universitario de la Princesa (Madrid)) ;
Webb, S. M 1952- (Institut d'Investigació Biomèdica Sant Pau) ;
Serra, Guillermo (Hospital Universitari Son Espases (Palma de Mallorca, Balears)) ;
Salinas, Isabel (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Blanco, Alberto (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Valassi, Elena (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Carrato, Cristina (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Picó Alfonso, Antonio M (Universidad Miguel Hernández de Elche. Departamento de Medicina Clínica) ;
García-Martínez, Araceli (Hospital General Universitario de Alicante (Alacant, País Valencià)) ;
Martel-Duguech, Luciana (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya)) ;
Sardon, Teresa (Anaxomics Biotech S.L.) ;
Simó-Servat, Andreu (Hospital Universitari Mútua Terrassa. Servei d'Endocrinologia) ;
Biagetti, Betina (Hospital Universitari Vall d'Hebron) ;
Villabona, Carles (Hospital Universitari de Bellvitge) ;
Cámara, Rosa (Hospital Universitari i Politècnic La Fe (València)) ;
Fajardo-Montañana, Carmen (Hospital de La Ribera (Alzira). Servicio de Endocrinología) ;
Álvarez-Escolá, Cristina (Hospital Universitario La Paz (Madrid)) ;
Lamas, Cristina (Hospital General Universitario de Albacete. Servicio de Endocrinología) ;
Alvarez, Clara V. (Universidade de Santiago de Compostela) ;
Bernabeu Morón, Ignacio (Complejo Hospitalario Universitario de Santiago de Compostela) ;
Marazuela, Mónica (Hospital Universitario de la Princesa (Madrid)) ;
Jordà, Mireia (Institut Germans Trias i Pujol) ;
Puig-Domingo, Manel (Universitat Autònoma de Barcelona. Departament de Medicina) ;
Universitat Autònoma de Barcelona
Predicting which acromegaly patients could benefit from somatostatin receptor ligands (SRL) is a must for personalized medicine. Although many biomarkers linked to SRL response have been identified, there is no consensus criterion on how to assign this pharmacologic treatment according to biomarker levels. [...]
2022 - 10.1038/s41598-022-12955-2
Scientific reports, Vol. 12 Núm. 1 (december 2022) , p. 8979
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10 p, 1005.5 KB |
Automatic Estimation of the Most Likely Drug Combination in Electronic Health Records Using the Smooth Algorithm : Development and Validation Study
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Ouchi, Dan (Universitat Autònoma de Barcelona. Departament de Farmacologia, de Terapèutica i de Toxicologia) ;
Giner-Soriano, Maria (Universitat Autònoma de Barcelona. Departament de Farmacologia, de Terapèutica i de Toxicologia) ;
Gomez-Lumbreras, Ainhoa (University of Utah) ;
Vedia Urgell, Cristina (Institut Català de la Salut) ;
Torres, Ferran (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública) ;
Morros, Rosa (Universitat Autònoma de Barcelona. Departament de Farmacologia, de Terapèutica i de Toxicologia)
Since the use of electronic health records (EHRs) in an automated way, pharmacovigilance or pharmacoepidemiology studies have been used to characterize the therapy using different algorithms. Although progress has been made in this area for monotherapy, with combinations of 2 or more drugs the challenge to characterize the treatment increases significantly, and more research is needed. [...]
2022 - 10.2196/37976
JMIR Medical Informatics, Vol. 10 (november 2022)
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215 p, 15.7 MB |
data mining and precision simulations of Cosmic Surveys
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Serrano Elorduy, Santiago ;
Gaztañaga Balbás, Enrique, dir. ;
Castander, Francisco Javier, dir. ;
Fernández, E. (Enrique), dir.
La generació actual de cartografiats de cosmologia requereix observacions més grans i precises que mai. Tot i que Edwin Hubble només va utilitzar 46 galàxies a partir de les mesures de Vesto Slipher fa gairebé 100 anys, els estudis actuals requereixen analitzar milions de galàxies, de vegades milers de milions. [...]
La generación actual de estudios de cosmología requiere observaciones más amplias y precisas que nunca. Si bien Edwin Hubble solo usó 46 galaxias medidas de Vesto Slipher hace casi 100 años, los estudios actuales requieren analizar millones, a veces miles de millones, de galaxias. [...]
The current generation of cosmology surveys requires larger and more accurate observations than ever before. While Edwin Hubble only used 46 galaxies measured from Vesto Slipher almost 100 years ago, present studies require analyzing millions - sometimes billions - of galaxies. [...]
2022
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15 p, 1.4 MB |
Controlar nivells d'ansietat i depressió mitjançant una aplicació web per evitar l'abandonament universitari
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Villagrasa Ramírez, Daniel ;
Grau Sala, Ramon, dir. (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ;
Universitat Autònoma de Barcelona.
Escola d'Enginyeria
Aquest projecte vol ajudar a detectar valors d'ansietat i depressió dels alumnes, així com ajudar a relacionar la quantitat d'abandonaments amb aquests estats. Una vegada detectats els valors, la intenció es donar feedback per ajudar a l'alumne a millorar el seu estat si ho necessita i evitar que abandoni els estudis. [...]
This project aims to help detect values of anxiety and depression in students, as well as to help relate the number of dropouts to these conditions. Once the values have been detected, the intention is to give feedback to help students to improve their condition if necessary and prevent them from dropping out of school. [...]
Este proyecto quiere ayudar a detectar valores de ansiedad y depresión de los alumnos, así como ayudar a relacionar la cantidad de abandonos con dichos estados. Una vez se detecten los valores, la intención es dar feedback para ayudar al alumno a mejorar su estado si lo necesita y evitar que llegue a abandonar los estudios. [...]
2022
Enginyeria Informàtica [958]
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10 p, 2.2 MB |
Feature selection based on discriminative power under uncertainty for computer vision applications
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Chakroun, Marwa (University of Sfax. Control and Energy Management Lab) ;
Bouhamed, Sonda Ammar (University of Sfax. Control and Energy Management Lab) ;
Kallel, Imene Khanfir (University of Sfax. Control and Energy Management Lab) ;
Solaiman, Basel (IMT Atlantique (Brest, França)) ;
Derbel, Houda (University of Sfax. Control and Energy Management Lab)
Feature selection is a prolific research field, which has been widely studied in the last decades and has been successfully applied to numerous computer vision systems. It mainly aims to reduce the dimensionality and thus the system complexity. [...]
2022 - 10.5565/rev/elcvia.1361
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 21 Núm. 1 (2022) , p. 111-120 (Regular Issue)
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11 p, 5.2 MB |
OverNet : lightweight multi-scale super-resolution with overscaling network
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Behjati, Parichehr (Centre de Visió per Computador (Bellaterra, Catalunya)) ;
Rodriguez, Pau (Element AI (Montreal, Canadà)) ;
Mehri, Armin (Centre de Visió per Computador (Bellaterra, Catalunya)) ;
Hupont, Isabelle (Herta Security (Barcelona, Catalunya)) ;
Fernández Tena, Carles (Herta Security (Barcelona, Catalunya)) ;
Gonzàlez, Jordi (Centre de Visió per Computador (Bellaterra, Catalunya))
Super-resolution (SR) has achieved great success due to the development of deep convolutional neural networks (CNNs). However, as the depth and width of the networks increase, CNN-based SR methods have been faced with the challenge of computational complexity in practice. [...]
2021 - 10.1109/WACV48630.2021.00274
2021 IEEE Winter Conference on Applications of Computer Vision (WACV). Waikoloa, 2021
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17 p, 5.7 MB |
An integrated multi-omics approach identifies the landscape of interferon-α-mediated responses of human pancreatic beta cells
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Colli, M. L. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Ramos-Rodríguez, M. (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Nakayasu, E. S. (Biological Sciences Division. Pacific Northwest National Laboratory) ;
Alvelos, M. I. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Lopes, M. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Hill, J. L. E. (Institute of Biomedical & Clinical Science. University of Exeter Medical School) ;
Turatsinze, J. V. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Coomans de Brachène, A. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Russell, M. A. (Institute of Biomedical & Clinical Science. University of Exeter Medical School) ;
Raurell Vila, Helena (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol) ;
Castela, A. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Juan-Mateu, J. (ULB Center for Diabetes Research. Medical Faculty. Université Libre de Bruxelles) ;
Webb-Robertson, B. J. M. (Biological Sciences Division. Pacific Northwest National Laboratory) ;
Krogvold, L. (Oslo University Hospital (Oslo, Noruega)) ;
Dahl-Jorgensen, K. (Oslo University Hospital (Oslo, Noruega)) ;
Marselli, L. (Department of Clinical and Experimental Medicine. Islet Cell Laboratory. University of Pisa) ;
Marchetti, P. (Department of Clinical and Experimental Medicine. Islet Cell Laboratory. University of Pisa) ;
Richardson, S. J. (Institute of Biomedical & Clinical Science. University of Exeter Medical School) ;
Morgan, N. G. (Institute of Biomedical & Clinical Science. University of Exeter Medical School) ;
Metz, T. O. (Biological Sciences Division. Pacific Northwest National Laboratory) ;
Pasquali, Lorenzo (Institut Germans Trias i Pujol. Institut de Recerca contra la Leucèmia Josep Carreras) ;
Eizirik, D. L. (Indiana Biosciences Research Institute) ;
Universitat Autònoma de Barcelona
Interferon-α (IFNα), a type I interferon, is expressed in the islets of type 1 diabetic individuals, and its expression and signaling are regulated by T1D genetic risk variants and viral infections associated with T1D. [...]
2020 - 10.1038/s41467-020-16327-0
Nature communications, Vol. 11 Núm. 1 (january 2020) , p. 2584
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