Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Jari Saramäki"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Tie strengths in social networks are heterogeneous, with strong and weak ties playing different roles at the network and individual levels. Egocentric networks, networks of relationships around an individual, exhibit few strong ties and more
Externí odkaz:
https://doaj.org/article/ed24ff7cb9ac450b8e4af696cc53cfcb
Autor:
Joonatan Mattila, Silja Sormunen, Nelli Heikkilä, Ilkka P. Mattila, Jari Saramäki, T. Petteri Arstila
Publikováno v:
Cancer Medicine, Vol 12, Iss 12, Pp 13486-13496 (2023)
Abstract Background The number of mutations in cancer cells is an important predictor of a positive response to cancer immunotherapy. It has been suggested that the neoantigens produced by these mutations are more immunogenic than nonmutated tumor an
Externí odkaz:
https://doaj.org/article/a1fd196e9f9b4512b675514b1c392ed5
Autor:
Vesa Vahermaa, Dogu Baran Aydogan, Tuukka Raij, Reetta-Liina Armio, Heikki Laurikainen, Jari Saramäki, Jaana Suvisaari
Publikováno v:
NeuroImage, Vol 279, Iss , Pp 120306- (2023)
We have studied the effects of manual quality control of brain Magnetic Resonance Imaging (MRI) images processed with Freesurfer. T1 images of first episode psychosis patients (N = 60) and healthy controls (N = 41) were inspected for gray matter boun
Externí odkaz:
https://doaj.org/article/e8759a1213b24c34a0257c7f78f81052
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Human activities follow daily, weekly, and seasonal rhythms. The emergence of these rhythms is related to physiology and natural cycles as well as social constructs. The human body and its biological functions undergo near 24-h rhythms (circ
Externí odkaz:
https://doaj.org/article/812fdccbd69e4cf597656e645bca7ec4
Publikováno v:
EPJ Data Science, Vol 9, Iss 1, Pp 1-20 (2020)
Abstract Even though the concept of tie strength is central in social network analysis, it is difficult to quantify how strong social ties are. One typical way of estimating tie strength in data-driven studies has been to simply count the total numbe
Externí odkaz:
https://doaj.org/article/e441bf55caf642a7b013dcee750260c6
Publikováno v:
Network Neuroscience, Vol 4, Iss 3, Pp 556-574 (2020)
AbstractBrain connectivity with functional magnetic resonance imaging (fMRI) is a popular approach for detecting differences between healthy and clinical populations. Before creating a functional brain network, the fMRI time series must undergo sever
Externí odkaz:
https://doaj.org/article/4cb1963da00e449087500948251d618b
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Understanding the patterns of human mobility between cities has various applications from transport engineering to spatial modeling of the spreading of contagious diseases. We adopt a city-centric, data-driven perspective to quantify such patterns an
Externí odkaz:
https://doaj.org/article/aa5525dcacab40aeb9d46b7ca3735cef
Autor:
Nelli Heikkilä, Iivari Kleino, Reetta Vanhanen, Dawit A. Yohannes, Ilkka P. Mattila, Jari Saramäki, T. Petteri Arstila
Publikováno v:
Data in Brief, Vol 35, Iss , Pp 106751- (2021)
T cell receptor (TCR) is a heterodimer consisting of TCRα and TCRβ chains that are generated by somatic recombination of multiple gene segments. Nascent TCR repertoire undergoes thymic selections where non-functional and potentially autoreactive re
Externí odkaz:
https://doaj.org/article/394d75d0da81404ab6d2e1527f3d4877
Publikováno v:
Network Neuroscience, Vol 2, Iss 4, Pp 513-535 (2018)
The properties of functional brain networks strongly depend on how their nodes are chosen. Commonly, nodes are defined by Regions of Interest (ROIs), predetermined groupings of fMRI measurement voxels. Earlier, we demonstrated that the functional hom
Externí odkaz:
https://doaj.org/article/f6a19247836c48c0b6a4c1be3d84aa30
Publikováno v:
EPJ Data Science, Vol 7, Iss 1, Pp 1-13 (2018)
Abstract Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the extremes can be categorized into two chronotypes: “larks”,
Externí odkaz:
https://doaj.org/article/0fcab7169cea427da3a615095d78eb7b