Zobrazeno 31 - 40
of 4 320
pro vyhledávání: '"Nordlund, P."'
Autor:
Olga Krali, Yanara Marincevic-Zuniga, Gustav Arvidsson, Anna Pia Enblad, Anders Lundmark, Shumaila Sayyab, Vasilios Zachariadis, Merja Heinäniemi, Janne Suhonen, Laura Oksa, Kaisa Vepsäläinen, Ingegerd Öfverholm, Gisela Barbany, Ann Nordgren, Henrik Lilljebjörn, Thoas Fioretos, Hans O. Madsen, Hanne Vibeke Marquart, Trond Flaegstad, Erik Forestier, Ólafur G. Jónsson, Jukka Kanerva, Olli Lohi, Ulrika Norén-Nyström, Kjeld Schmiegelow, Arja Harila, Mats Heyman, Gudmar Lönnerholm, Ann-Christine Syvänen, Jessica Nordlund
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Genomic analyses have redefined the molecular subgrouping of pediatric acute lymphoblastic leukemia (ALL). Molecular subgroups guide risk-stratification and targeted therapies, but outcomes of recently identified subtypes are often unclear,
Externí odkaz:
https://doaj.org/article/7542b6ffc9a04cf2bdda7eb58e446d0d
Publikováno v:
Phys. Rev. Materials 6, 083801 (2022)
Developing data-driven machine-learning interatomic potentials for materials containing many elements becomes increasingly challenging due to the vast configuration space that must be sampled by the training data. We study the learning rates and achi
Externí odkaz:
http://arxiv.org/abs/2203.08458
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29261- (2024)
Background: It is estimated that 65 million people worldwide suffer from long covid (LC). Many LC symptoms are also reported by patients with airflow limitation, used to confirm asthma. The primary aim was to detect airflow limitation in LC patients
Externí odkaz:
https://doaj.org/article/da82c151fb8844c0b554a86dbe6fe35b
Autor:
Byggmästar, Jesper, Nikoulis, Giorgos, Fellman, Aslak, Granberg, Fredric, Djurabekova, Flyura, Nordlund, Kai
Publikováno v:
J. Phys.: Condens. Matter 34 305402 (2022)
We develop and compare four interatomic potentials for iron: a simple machine-learned embedded atom method (EAM) potential, a potential with machine-learned two- and three-body-dependent terms, a potential with machine-learned EAM and three-body term
Externí odkaz:
http://arxiv.org/abs/2201.10237
An excess of events of unknown origin at low energies below 1 keV has been observed in multiple low-threshold dark matter detectors. Depending on the target material, nuclear recoil events at these energies may cause lattice defects, in which case a
Externí odkaz:
http://arxiv.org/abs/2112.14495
Autor:
Luyao Ren, Xiaoke Duan, Lianhua Dong, Rui Zhang, Jingcheng Yang, Yuechen Gao, Rongxue Peng, Wanwan Hou, Yaqing Liu, Jingjing Li, Ying Yu, Naixin Zhang, Jun Shang, Fan Liang, Depeng Wang, Hui Chen, Lele Sun, Lingtong Hao, The Quartet Project Team, Andreas Scherer, Jessica Nordlund, Wenming Xiao, Joshua Xu, Weida Tong, Xin Hu, Peng Jia, Kai Ye, Jinming Li, Li Jin, Huixiao Hong, Jing Wang, Shaohua Fan, Xiang Fang, Yuanting Zheng, Leming Shi
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-31 (2023)
Abstract Background Genomic DNA reference materials are widely recognized as essential for ensuring data quality in omics research. However, relying solely on reference datasets to evaluate the accuracy of variant calling results is incomplete, as th
Externí odkaz:
https://doaj.org/article/d7d0e8a3126440d98263385aaeddd458
Autor:
Lydia Kokkola, Marie Nordlund
Publikováno v:
Digital Culture & Education, Vol 14, Iss 4, Pp 149-165 (2023)
All school leavers should have efficient online searching skills, defined here as the ability to select suitable search terms, feed them into a search engine, and make active decisions about which options to open from the results page. An additional
Externí odkaz:
https://doaj.org/article/9f03c9d30012477e911a2b9045f6e732
Autor:
Mariya Lysenkova Wiklander, Elin Övernäs, Johanna Lagensjö, Amanda Raine, Anna Petri, Ann-Christin Wiman, Jon Ramsell, Yanara Marincevic-Zuniga, Henrik Gezelius, Tom Martin, Ignas Bunikis, Sara Ekberg, Rikard Erlandsson, Pontus Larsson, Mai-Britt Mosbech, Susana Häggqvist, Susanne Hellstedt Kerje, Lars Feuk, Adam Ameur, Ulrika Liljedahl, Jessica Nordlund
Publikováno v:
BMC Research Notes, Vol 16, Iss 1, Pp 1-5 (2023)
Abstract Objectives The aim of this data paper is to describe a collection of 33 genomic, transcriptomic and epigenomic sequencing datasets of the B-cell acute lymphoblastic leukemia (ALL) cell line REH. REH is one of the most frequently used cell li
Externí odkaz:
https://doaj.org/article/5165637138d0472e9926245c93331949
Autor:
Perla J. Sandoval, Karen Lopez, Andres Arreola, Anida Len, Nedah Basravi, Pomaikaimaikalani Yamaguchi, Rina Kawamura, Camron X. Stokes, Cynthia Melendrez, Davida Simpson, Sang-Jun Lee, Charles James Titus, Virginia Altoe, Sami Sainio, Dennis Nordlund, Kent Irwin, Abraham Wolcott
Publikováno v:
ACS Nanoscience Au, Vol 3, Iss 6, Pp 462-474 (2023)
Externí odkaz:
https://doaj.org/article/33a1849936d6438887713481b79b7197
Autor:
Miia Riihimäki, Kim Fegraeus, Jessica Nordlund, Ida Waern, Sara Wernersson, Srinivas Akula, Lars Hellman, Amanda Raine
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Equine asthma (EA) is a heterogenous, complex disease, with a significant negative impact on horse welfare and performance. EA and human asthma share fundamental similarities, making EA a useful model for studying the disease. One relevant s
Externí odkaz:
https://doaj.org/article/95eefbaef209481a8ea7193ce90189dc