Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Chakravarthi Kanduri"'
Autor:
Christin Lund-Andersen, Annette Torgunrud, Chakravarthi Kanduri, Vegar J. Dagenborg, Ida S. Frøysnes, Mette M. Larsen, Ben Davidson, Stein G. Larsen, Kjersti Flatmark
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Patients with peritoneal metastasis from colorectal cancer (PM-CRC) have inferior prognosis and respond particularly poorly to chemotherapy. This study aims to identify the molecular explanation for the observed clinical behavior
Externí odkaz:
https://doaj.org/article/7d52e77ca55b4a2c85c7fa8d071ee9c9
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-9 (2018)
Abstract Background The current versions of reference genome assemblies still contain gaps represented by stretches of Ns. Since high throughput sequencing reads cannot be mapped to those gap regions, the regions are depleted of experimental data. Mo
Externí odkaz:
https://doaj.org/article/71aae0f8d2214c968364a84896736bee
Publikováno v:
Frontiers in Genetics, Vol 11 (2021)
Externí odkaz:
https://doaj.org/article/86758d8556e34310853df9b44c0cf58b
Publikováno v:
Genome Biology, Vol 18, Iss 1, Pp 1-5 (2017)
Abstract Genomic locations are represented as coordinates on a specific genome build version, but the build information is frequently missing when coordinates are provided. We show that this information is essential to correctly interpret and analyse
Externí odkaz:
https://doaj.org/article/9b668f9da3574d0aa9d82025a8fcc3dd
Autor:
Chakravarthi Kanduri, Pirre Raijas, Minna Ahvenainen, Anju K. Philips, Liisa Ukkola-Vuoti, Harri Lähdesmäki, Irma Järvelä
Publikováno v:
PeerJ, Vol 3, p e830 (2015)
Although brain imaging studies have demonstrated that listening to music alters human brain structure and function, the molecular mechanisms mediating those effects remain unknown. With the advent of genomics and bioinformatics approaches, these effe
Externí odkaz:
https://doaj.org/article/d593c626c7ef4aa1bca42d63d3f0a483
Autor:
Liisa Ukkola-Vuoti, Chakravarthi Kanduri, Jaana Oikkonen, Gemma Buck, Christine Blancher, Pirre Raijas, Kai Karma, Harri Lähdesmäki, Irma Järvelä
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e56356 (2013)
Music perception and practice represent complex cognitive functions of the human brain. Recently, evidence for the molecular genetic background of music related phenotypes has been obtained. In order to further elucidate the molecular background of m
Externí odkaz:
https://doaj.org/article/fd887a760c7c4d8a8a50c4392dabb957
Python is a popular and widespread programming language for scientific computing, in large part due to the powerfularray programminglibrary NumPy, which makes it easy to write clean, vectorized and efficient code for handling large datasets. A challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d65940b6a2c5fbc8b8c9400213186e
https://doi.org/10.1101/2022.12.21.521373
https://doi.org/10.1101/2022.12.21.521373
Autor:
Milena Pavlović, Keshav Motwani, Lonneke Scheffer, Maria Chernigovskaya, Chakravarthi Kanduri, Victor Greiff, Geir Kjetil Sandve
BackgroundMachine learning (ML) methodology development for the classification of immune states in adaptive immune receptor repertoires (AIRRs) has seen a recent surge of interest. However, so far, there does not exist a systematic evaluation of scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e68a10f7a1f4b971b78bf3d04bdfa7
http://hdl.handle.net/10852/94308
http://hdl.handle.net/10852/94308
Autor:
Chakravarthi Kanduri, Alexandre Almeida Costa, Eivind Hovig, Antonio Martini, Michael Widrich, Ghadi S. Al Hajj, Ingrid Hobæk Haff, Ivar Grytten, Radmila Kompova, Andrei Slabodkin, Cédric R. Weber, Ludvig M. Sollid, Gabriel Balaban, Knut Dagestad Rand, Fabian L. M. Bernal, Victor Greiff, Gur Yaari, Marieke L. Kuijjer, Artur Rocha, Enrico Riccardi, Knut Waagan, Brian Corrie, Igor Snapkov, Lonneke Scheffer, Nikolay Vazov, Milena Pavlović, Robert Frank, Dmytro Titov, Maria Chernigovskaya, Johan Pensar, Rahmad Akbar, Todd M. Brusko, Scott Christley, Keshav Motwani, Geir Kjetil Sandve, Philippe Robert, Thomas Minotto, Ping-Han Hsieh, Sveinung Gundersen, Christin Lund-Andersen, Lindsay G. Cowell, Günter Klambauer
Publikováno v:
Nat Mach Intell
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65225dec4d5ad9e94648449a645b13a2
https://europepmc.org/articles/PMC10312379/
https://europepmc.org/articles/PMC10312379/
Autor:
Knut Waagan, Brian Corrie, Chakravarthi Kanduri, Victor Greiff, Artur Rocha, Antonio Martini, Lonneke Scheffer, Alexandre Almeida Costa, Gabriel Balaban, Ingrid Hobæk Haff, Christin Lund-Andersen, Sepp Hochreiter, Fabian L. M. Bernal, Lindsay G. Cowell, Cédric R. Weber, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Keshav Motwani, Ghadi S. Al Hajj, Knut Dagestad Rand, Johan Pensar, Igor Snapkov, Günter Klambauer, Milena Pavlović, Eivind Hovig, Robert Frank, Gur Yaari, Ping-Han Hsieh, Dmytro Titov, Enrico Riccardi, Ivar Grytten, Andrei Slabodkin, Rahmad Akbar, Sveinung Gundersen, Nikolay Vazov, Philippe Robert, Thomas Minotto, Ludvig M. Sollid, Marieke L. Kuijjer, Radmila Kompova, Michael Widrich, Geir Kjetil Sandve
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an id
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb6d82b64efdaa4a6187b0a23954ca5d
https://doi.org/10.1101/2021.03.08.433891
https://doi.org/10.1101/2021.03.08.433891