Search Results - "Reimand, J"

Disruption of Abi1/Hssh3bp1 expression induces prostatic intraepithelial neoplasia in the conditional Abi1/Hssh3bp1 KO mice by Xiong, X, Chorzalska, A, Dubielecka, P M, White, J R, Vedvyas, Y, Hedvat, C V, Haimovitz-Friedman, A, Koutcher, J A, Reimand, J, Bader, G D, Sawicki, J A, Kotula, L

“…Prostate cancer is one of the leading causes of cancer-related deaths in the United States and a leading diagnosed non-skin cancer in American men. Genetic…”
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Embryo – endometrium interactions at the time of implantation by Altmäe, S, Reimand, J, Vilo, J, Hovatta, O, Stavreus-Evers, A, Salumets, A

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Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: a systematic review by Brar, A.K., Zhu, A., Wang, B., Reimand, J., Bhat, M.

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Research Resource: Interactome of Human Embryo Implantation: Identification of Gene Expression Pathways, Regulation, and Integrated Regulatory Networks by Altmäe, Signe, Reimand, Jüri, Hovatta, Outi, Zhang, Pu, Kere, Juha, Laisk, Triin, Saare, Merli, Peters, Maire, Vilo, Jaak, Stavreus-Evers, Anneli, Salumets, Andres

“…A prerequisite for successful embryo implantation is adequate preparation of receptive endometrium and the establishment and maintenance of a viable embryo…”
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Analyses of non-coding somatic drivers in 2,658 cancer whole genomes (vol 578, pg 102, 2020) by Rheinbay, E, Nielsen, MM, Abascal, F, Wala, JA, Shapira, O, Tiao, G, Hornshoj, H, Hess, JM, Juul, RI, Lin, Z, Feuerbach, L, Sabarinathan, R, Madsen, T, Kim, J, Mularoni, L, Shuai, S, Lanzos, A, Herrmann, C, Maruvka, YE, Shen, CY, Amin, SB, Bandopadhayay, P, Bertl, J, Boroevich, KA, Busanovich, J, Carlevaro-Fita, J, Chakravarty, D, Chan, CWY, Craft, D, Dhingra, P, Diamanti, K, Fonseca, NA, Gonzalez-Perez, A, Guo, QY, Hamilton, MP, Haradhvala, NJ, Hong, C, Isaev, K, Johnson, TA, Juul, M, Kahles, A, Kahraman, A, Kim, Y, Komorowski, J, Kumar, K, Kumar, S, Lee, D, Lehmann, KV, Li, YL, Liu, EM, Lochovsky, L, Park, K, Pich, O, Roberts, ND, Saksena, G, Schumacher, SE, Sidiropoulos, N, Sieverling, L, Sinnott-Armstrong, N, Stewart, C, Tamborero, D, Tubio, JMC, Umer, HM, Uuskula-Reimand, L, Wadelius, C, Wadi, L, Yao, XT, Zhang, CZ, Zhang, J, Haber, JE, Hobolth, A, Imielinski, M, Kellis, M, Lawrence, MS, von Mering, C, Nakagawa, H, Raphael, BJ, Rubin, MA, Sander, C, Stein, LD, Stuart, JM, Tsunoda, T, Wheeler, DA, Johnson, R, Reimand, J, Gerstein, M, Khurana, E, Campbell, PJ, Lopez-Bigas, N, Weischenfeldt, J, Beroukhim, R, Martincorena, I, Pedersen, JS

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Author Correction: Analyses of non-coding somatic drivers in 2,658 cancer whole genomes by Rheinbay, Esther, Nielsen, Morten Muhlig, Abascal, Federico, Wala, Jeremiah A., Shapira, Ofer, Tiao, Grace, Hornshøj, Henrik, Hess, Julian M., Juul, Randi Istrup, Lin, Ziao, Feuerbach, Lars, Sabarinathan, Radhakrishnan, Madsen, Tobias, Kim, Jaegil, Mularoni, Loris, Shuai, Shimin, Lanzós, Andrés, Herrmann, Carl, Maruvka, Yosef E., Shen, Ciyue, Amin, Samirkumar B., Bandopadhayay, Pratiti, Bertl, Johanna, Boroevich, Keith A., Busanovich, John, Carlevaro-Fita, Joana, Chakravarty, Dimple, Chan, Calvin Wing Yiu, Craft, David, Dhingra, Priyanka, Diamanti, Klev, Fonseca, Nuno A., Gonzalez-Perez, Abel, Guo, Qianyun, Hamilton, Mark P., Haradhvala, Nicholas J., Hong, Chen, Isaev, Keren, Johnson, Todd A., Juul, Malene, Kahles, Andre, Kahraman, Abdullah, Kim, Youngwook, Komorowski, Jan, Kumar, Kiran, Kumar, Sushant, Lee, Donghoon, Lehmann, Kjong-Van, Li, Yilong, Liu, Eric Minwei, Lochovsky, Lucas, Park, Keunchil, Pich, Oriol, Roberts, Nicola D., Saksena, Gordon, Schumacher, Steven E., Sidiropoulos, Nikos, Sieverling, Lina, Sinnott-Armstrong, Nasa, Stewart, Chip, Tamborero, David, Tubio, Jose M. C., Umer, Husen M., Uusküla-Reimand, Liis, Wadelius, Claes, Wadi, Lina, Yao, Xiaotong, Zhang, Cheng-Zhong, Zhang, Jing, Haber, James E., Hobolth, Asger, Imielinski, Marcin, Kellis, Manolis, Lawrence, Michael S., von Mering, Christian, Nakagawa, Hidewaki, Raphael, Benjamin J., Rubin, Mark A., Sander, Chris, Stein, Lincoln D., Stuart, Joshua M., Tsunoda, Tatsuhiko, Wheeler, David A., Johnson, Rory, Reimand, Jüri, Gerstein, Mark, Khurana, Ekta, Campbell, Peter J., López-Bigas, Núria, Weischenfeldt, Joachim, Beroukhim, Rameen, Martincorena, Iñigo, Pedersen, Jakob Skou, Getz, Gad

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GraphWeb: mining heterogeneous biological networks for gene modules with functional significance by Reimand, Jüri, Tooming, Laur, Peterson, Hedi, Adler, Priit, Vilo, Jaak

“…Deciphering heterogeneous cellular networks with embedded modules is a great challenge of current systems biology. Experimental and computational studies…”
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Assessing Amyloid Pathology in Cognitively Normal Subjects Using 18 F-Flutemetamol PET: Comparing Visual Reads and Quantitative Methods by Collij, Lyduine E, Konijnenberg, Elles, Reimand, Juhan, Kate, Mara Ten, Braber, Anouk den, Lopes Alves, Isadora, Zwan, Marissa, Yaqub, Maqsood, van Assema, Daniëlle M E, Wink, Alle Meije, Lammertsma, Adriaan A, Scheltens, Philip, Visser, Pieter Jelle, Barkhof, Frederik, van Berckel, Bart N M

“…Our objective was to determine the optimal approach for assessing amyloid disease in a cognitively normal elderly population. Dynamic F-flutemetamol PET scans…”
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Assessing Amyloid Pathology in Cognitively Normal Subjects Using 18F-Flutemetamol PET: Comparing Visual Reads and Quantitative Methods by Collij, Lyduine E, Konijnenberg, Elles, Reimand, Juhan, ten Kate, Mara, den Braber, Anouk, Alves, Isadora Lopes, Zwan, Marissa, Yaqub, Maqsood, van Assema, Daniëlle ME, Wink, Alle Meije, Lammertsma, Adriaan A, Scheltens, Philip, Visser, Pieter Jelle, Barkhof, Frederik, van Berckel, Bart NM

“…Our objective was to determine the optimal approach for assessing amyloid disease in a cognitively normal elderly population. Methods: Dynamic 18F-flutemetamol…”
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EP-03 MOLECULAR CLASSIFICATION OF EPENDYMAL TUMORS ACROSS ALL CNS COMPARTMENTS, HISTOPATHOLOGICAL GRADES AND AGE GROUPS by Pajtler, K. W., Witt, H., Sill, M., Jones, D., Hovestadt, V., Johann, P., Reimand, J., Lichter, P., Taylor, M. D., Gilbertson, R., Ellison, D. W., Aldape, K., Korshunov, A., Pfister, S. M., Kool, M.

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VisHiC—hierarchical functional enrichment analysis of microarray data by Krushevskaya, Darya, Peterson, Hedi, Reimand, Jüri, Kull, Meelis, Vilo, Jaak

“…Measuring gene expression levels with microarrays is one of the key technologies of modern genomics. Clustering of microarray data is an important application,…”
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SINGLE CELL DERIVED CLONAL ANALYSIS OF HUMAN GLIOBLASTOMA LINKS FUNCTIONAL AND GENOMIC HETEROGENEITY by Dirks, P. B., Meyer, M., Reimand, J., Lan, X., Head, R., Zhu, X., Kushida, M., Bayani, J., Pressey, J. C., Lionel, A., Clarke, I. D., Cusimano, M., Squire, J., Scherer, S., Bernstein, M., Woodin, M. A., Bader, G. D.

“…BACKGROUND: Glioblastoma (GBM) is a cancer comprised of morphologically, genetically and phenotypically diverse cells. However, an understanding of the…”
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Human embryo-endometrium interactions at the time of implantation by Peters, M, Altmae, S, Reimand, J, Laisk, T, Saare, M, Hovatta, O, Kolde, R, Vilo, J, Stavreus-Evers, A, Salumets, A

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