Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Maria K Jaakkola"'
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0199991 (2018)
Pathway analysis is a common approach in diverse biomedical studies, yet the currently-available pathway tools do not typically support the increasingly popular personalized analyses. Another weakness of the currently-available pathway methods is the
Externí odkaz:
https://doaj.org/article/dba32787617d473b880750406f647105
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 5, p e1005562 (2017)
Differential expression analysis is one of the most common types of analyses performed on various biological data (e.g. RNA-seq or mass spectrometry proteomics). It is the process that detects features, such as genes or proteins, showing statisticall
Externí odkaz:
https://doaj.org/article/cc0d7b450f6848f08a8e742d8b1d1f64
Autor:
Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén
Publikováno v:
International Journal of Biomedical Imaging, Vol 2023 (2023)
Clustering time activity curves of PET images have been used to separate clinically relevant areas of the brain or tumours. However, PET image segmentation in multiorgan level is much less studied due to the available total-body data being limited to
Externí odkaz:
https://doaj.org/article/6aa8f6b2dabe4568b37638f9a31ae1fe
Autor:
Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Ármin Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydın, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, the Parkinson’s Disease Digital Biomarker Challenge Consortium, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
Abstract Consumer wearables and sensors are a rich source of data about patients’ daily disease and symptom burden, particularly in the case of movement disorders like Parkinson’s disease (PD). However, interpreting these complex data into so-cal
Externí odkaz:
https://doaj.org/article/45ee48713e9b4dd591d3f8cc81d31894
Autor:
Tomi Suomi, Inna Starskaia, Ubaid Ullah Kalim, Omid Rasool, Maria K. Jaakkola, Toni Grönroos, Tommi Välikangas, Caroline Brorsson, Gianluca Mazzoni, Sylvaine Bruggraber, Lut Overbergh, David Dunger, Mark Peakman, Piotr Chmura, Søren Brunak, Anke M. Schulte, Chantal Mathieu, Mikael Knip, Riitta Lahesmaa, Laura L. Elo, Pieter Gillard, Kristina Casteels, Lutgart Overbergh, Chris Wallace, Mark Evans, Ajay Thankamony, Emile Hendriks, Loredana Marcoveccchio, Timothy Tree, Noel G. Morgan, Sarah Richardson, John A. Todd, Linda Wicker, Adrian Mander, Colin Dayan, Mohammad Alhadj Ali, Thomas Pieber, Decio L. Eizirik, Myriam Cnop, Flemming Pociot, Jesper Johannesen, Peter Rossing, Cristina Legido Quigley, Roberto Mallone, Raphael Scharfmann, Christian Boitard, Timo Otonkoski, Riitta Veijola, Matej Oresic, Jorma Toppari, Thomas Danne, Anette G. Ziegler, Peter Achenbach, Teresa Rodriguez-Calvo, Michele Solimena, Ezio E. Bonifacio, Stephan Speier, Reinhard Holl, Francesco Dotta, Francesco Chiarelli, Piero Marchetti, Emanuele Bosi, Stefano Cianfarani, Paolo Ciampalini, Carine De Beaufort, Knut Dahl-Jørgensen, Torild Skrivarhaug, Geir Joner, Lars Krogvold, Przemka Jarosz-Chobot, Tadej Battelino, Bernard Thorens, Martin Gotthardt, Bart O. Roep, Tanja Nikolic, Arnaud Zaldumbide, Ake Lernmark, Marcus Lundgren, Guillaume Costacalde, Thorsten Strube, Almut Nitsche, Jose Vela, Matthias Von Herrath, Johnna Wesley, Antonella Napolitano-Rosen, Melissa Thomas, Nanette Schloot, Allison Goldfine, Frank Waldron-Lynch, Jill Kompa, Aruna Vedala, Nicole Hartmann, Gwenaelle Nicolas, Jean van Rampelbergh, Nicolas Bovy, Sanjoy Dutta, Jeannette Soderberg, Simi Ahmed, Frank Martin, Esther Latres, Gina Agiostratidou, Anne Koralova, Ruben Willemsen, Anne Smith, Binu Anand, Vipan Datta, Vijith Puthi, Sagen Zac-Varghese, Renuka Dias, Premkumar Sundaram, Bijay Vaidya, Catherine Patterson, Katharine Owen, Barbara Piel, Simon Heller, Tabitha Randell, Tasso Gazis, Elise Bismuth Reismen, Jean-Claude Carel, Jean-Pierre Riveline, Jean-Francoise Gautier, Fabrizion Andreelli, Florence Travert, Emmanuel Cosson, Alfred Penfornis, Catherine Petit, Bruno Feve, Nadine Lucidarme, Jean-Paul Beressi, Catherina Ajzenman, Alina Radu, Stephanie Greteau-Hamoumou, Cecile Bibal, Thomas Meissner, Bettina Heidtmann, Sonia Toni, Birgit Rami-Merhar, Bart Eeckhout, Bernard Peene, N. Vantongerloo, Toon Maes, Leen Gommers
Publikováno v:
eBioMedicine. 92:104625
BACKGROUND: Type 1 diabetes is a complex heterogenous autoimmune disease without therapeutic interventions available to prevent or reverse the disease. This study aimed to identify transcriptional changes associated with the disease progression in pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e261b0e7682a73878049bf183ae8e786
https://doi.org/10.1016/j.ebiom.2023.104625
https://doi.org/10.1016/j.ebiom.2023.104625
Autor:
Maria K. Jaakkola, Laura L. Elo
Publikováno v:
Briefings in Bioinformatics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e43145f7d225eb5315c752b5273c258
https://doi.org/10.1093/bib/bbab433
https://doi.org/10.1093/bib/bbab433
Autor:
Maria K, Jaakkola, Laura L, Elo
Publikováno v:
NAR Genomics and Bioinformatics
Computational deconvolution is a time and cost-efficient approach to obtain cell type-specific information from bulk gene expression of heterogeneous tissues like blood. Deconvolution can aim to either estimate cell type proportions or abundances in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::77d3451b5ee627ac3560606539fbedd9
https://pubmed.ncbi.nlm.nih.gov/33575652
https://pubmed.ncbi.nlm.nih.gov/33575652
Autor:
Maria K. Jaakkola, Laura L. Elo
Publikováno v:
Briefings in Bioinformatics
Multiple methods have been proposed to estimate pathway activities from expression profiles, and yet, there is not enough information available about the performance of those methods. This makes selection of a suitable tool for pathway analysis diffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffa5467c063cf0c7d12d6e67bcd69c19
https://doi.org/10.1093/bib/bbv049
https://doi.org/10.1093/bib/bbv049
Publikováno v:
Diabetologia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::9675c4b27c99adc229bddecfd3395b3e
Autor:
Niina, Lietzen, Le T T, An, Maria K, Jaakkola, Henna, Kallionpää, Sami, Oikarinen, Juha, Mykkänen, Mikael, Knip, Riitta, Veijola, Jorma, Ilonen, Jorma, Toppari, Heikki, Hyöty, Riitta, Lahesmaa, Laura L, Elo
Publikováno v:
Diabetologia
Aims/hypothesis Enterovirus infections have been associated with the development of type 1 diabetes in multiple studies, but little is known about enterovirus-induced responses in children at risk for developing type 1 diabetes. Our aim was to use ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::309ead945d2067f438881038d1bf5cc7
https://pubmed.ncbi.nlm.nih.gov/29119244
https://pubmed.ncbi.nlm.nih.gov/29119244