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Scientific reports, ISSN 2045-2322, 01/2020, Volume 10, Issue 1, pp. 298 - 12
With progress in magnetic resonance imaging technology and a broader dissemination of state-of-the-art imaging facilities, the acquisition of multiple... 
Neuroimaging | Learning algorithms | Classification schemes | Medical imaging | Magnetic resonance imaging | Mental disorders | Classification | Alcohol | Drug dependence | Cross-modal | Structure-function relationships
Journal Article
by Weinstein, John N and Collisson, Eric A and Mills, Gordon B and Shaw, Kenna R Mills and Ozenberger, Brad A and Ellrott, Kyle and Sander, Chris and Stuart, Joshua M and Chang, Kyle and Creighton, Chad J and Davis, Caleb and Donehower, Lawrence and Drummond, Jennifer and Wheeler, David and Ally, Adrian and Balasundaram, Miruna and Birol, Inanc and Butterfield, Yaron S.N and Chu, Andy and Chuah, Eric and Chun, Hye-Jung E and Dhalla, Noreen and Guin, Ranabir and Hirst, Martin and Hirst, Carrie and Holt, Robert A and Jones, Steven J.M and Lee, Darlene and Li, Haiyan I and Marra, Marco A and Mayo, Michael and Moore, Richard A and Mungall, Andrew J and Robertson, A Gordon and Schein, Jacqueline E and Sipahimalani, Payal and Tam, Angela and Thiessen, Nina and Varhol, Richard J and Beroukhim, Rameen and Bhatt, Ami S and Brooks, Angela N and Cherniack, Andrew D and Freeman, Samuel S and Gabriel, Stacey B and Helman, Elena and Jung, Joonil and Meyerson, Matthew and Ojesina, Akinyemi I and Pedamallu, Chandra Sekhar and Saksena, Gordon and Schumacher, Steven E and Tabak, Barbara and Zack, Travis and Lander, Eric S and Bristow, Christopher A and Hadjipanayis, Angela and Haseley, Psalm and Kucherlapati, Raju and Lee, Semin and Lee, Eunjung and Luquette, Lovelace J and Mahadeshwar, Harshad S and Pantazi, Angeliki and Parfenov, Michael and Park, Peter J and Protopopov, Alexei and Ren, Xiaojia and Santoso, Netty and Seidman, Jonathan and Seth, Sahil and Song, Xingzhi and Tang, Jiabin and Xi, Ruibin and Xu, Andrew W and Yang, Lixing and Zeng, Dong and Auman, J Todd and Balu, Saianand and Buda, Elizabeth and Fan, Cheng and Hoadley, Katherine A and Jones, Corbin D and Meng, Shaowu and Mieczkowski, Piotr A and Parker, Joel S and Perou, Charles M and Roach, Jeffrey and Shi, Yan and Silva, Grace O and Tan, Donghui and Veluvolu, Umadevi and Waring, Scot and Wilkerson, Matthew D and Wu, Junyuan and Zhao, Wei and Bodenheimer, Tom and Hayes, D Neil and Hoyle, Alan P and Jeffreys, Stuart R and ... and Canc Genome Atlas Res Network and Cancer Genome Atlas Research Network and The Cancer Genome Atlas Research Network and Department of Mathematical Sciences, Mathematical Statistics and Naturvetenskapliga fakulteten and Institutionen för matematiska vetenskaper, matematisk statistik and Faculty of Sciences and Göteborgs universitet and Gothenburg University
Nature Genetics, ISSN 1061-4036, 10/2013, Volume 45, Issue 10, pp. 1113 - 1120
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA,... 
ONCOGENE | FUSION | GENE | GENETICS & HEREDITY | MUTATIONS | IDENTIFICATION | HALLMARKS | Gene Expression Profiling | Neoplasms - genetics | Genome | Neoplasms - pathology | Humans | Medical research | Breast cancer | Mutation | Genomics | Tumors | Genetik | Medicinsk genetik | Medical Genetics | Genetics
Journal Article
Journal Article
Frontiers in systems neuroscience, ISSN 1662-5137, 2010, Volume 4
Recently, both increases and decreases in resting-state functional connectivity have been found in major depression. However, these studies only assessed... 
Functional connectivity | Amygdale | Resting-state functional magnetic resonance imaging | Major depression | Independent component analysis | Resting-state fMRI | functional connectivity | Expression | group ICA | major depression
Journal Article
NeuroImage, ISSN 1053-8119, 01/2013, Volume 65, pp. 499 - 510
Journal Article