Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Shimko, Tyler"'
Autor:
John, Peter St., Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John, John St., Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Chou, Han-Yi, Chu, Simon, Costa, Allan dos Santos, Darabi, Sajad, Dawson, Eric, Didi, Kieran, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Veccham, Srimukh Prasad, Venanzi, Niccolò Alberto Elia, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wong, Wei Jing, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B
Artificial Intelligence models encoding biology and chemistry are opening new routes to high-throughput and high-quality in-silico drug development. However, their training increasingly relies on computational scale, with recent protein language mode
Externí odkaz:
http://arxiv.org/abs/2411.10548
Autor:
Liu, Boxiang, Hussami, Nadine, Shrikumar, Avanti, Shimko, Tyler, Bhate, Salil, Longwell, Scott, Montgomery, Stephen, Kundaje, Anshul
Deciphering gene regulatory networks is a central problem in computational biology. Here, we explore the use of multi-modal neural networks to learn predictive models of gene expression that include cis and trans regulatory components. We learn model
Externí odkaz:
http://arxiv.org/abs/1908.09426
Autor:
Le, Daniel D., Shimko, Tyler C., Aditham, Arjun K., Keys, Allison M., Longwell, Scott A., Orenstein, Yaron, Fordyce, Polly M.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2018 Apr . 115(16), E3702-E3711.
Externí odkaz:
https://www.jstor.org/stable/26508871
Publikováno v:
BCB
Bioinformatics
Bioinformatics
Motivation High-throughput protein screening is a critical technique for dissecting and designing protein function. Libraries for these assays can be created through a number of means, including targeted or random mutagenesis of a template protein se
Akademický článek
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Autor:
Shimko, Tyler C.1, Andersen, Erik C.1 erik.andersen@northwestern.edu
Publikováno v:
PLoS ONE. Oct2014, Vol. 9 Issue 10, p1-5. 5p.
Autor:
Haugen, Eric, He, Yuan, Chen, Lin S., Dermitzakis, Emmanouil T., Branton, Philip A., Nobel, Andrew B., Park, YoSon, McLean, Jeffrey A., Neri, Fidencio J., Tabor, David E., Saha, Ashis, Sobin, Leslie, Doherty, Jennifer A., Rosenbloom, Kate R., Quan, Jie, Strober, Benjamin J., Liu, Yaping, Valley, Dana, Basha, Omer, Barshir, Ruth, Trowbridge, Casandra A., Segrè, Ayellet V., Skol, Andrew, Karasik, Ellen, Bridge, Jason, Kent, W. James, Chiang, Colby, Damani, Farhan N., Karczewski, Konrad J., Barcus, Mary E., Oliva, Meritxell, Papasaikas, Panagiotis, Nelson, Jemma, Linke, Caroline, Paten, Benedict, Gelfand, Ellen T., Zhu, Jingchun, Wright, Fred A., Smith, Kevin S., Halow, Jessica, Kim-Hellmuth, Sarah, Salvatore, Michael, Hunter, Steven, Noble, Michael S., Goldman, Mary, Nguyen, Duyen Y., Singh, Shilpi, Rohrer, Daniel C., Cox, Nancy J., Hickey, Peter F., Battle, Alexis, Claussnitzer, Melina, Molinie, Benoit, Aguet, François, Balliu, Brunilda, Thomas, Jeffrey A., Hormozdiari, Farhad, Hou, Lei, Kaul, Rajinder, Peterson, Christine B., Lin, Jessica, Barker, Laura K., Brown, Christopher D., Guan, Ping, Lee, Kristen, Gloudemans, Michael J., Ripke, Stephan, Moser, Michael T., Muñoz-Aguirre, Manuel, Haeussler, Maximilian, Vatanian, Negin, Gewirtz, Ariel D.H., Castel, Stephane E., Monlong, Jean, Scott, Alexandra J., Stamatoyannopoulos, John, Ruffier, Magali, Zappala, Zachary, Li, Xiao, Ferreira, Pedro G., Nierras, Concepcion R., Yeger-Lotem, Esti, Wen, Xiaoquan, Struewing, Jeffery P., Delaneau, Olivier, Tukiainen, Taru, Tomaszewski, Maria M., Jo, Brian, Park, Yongjin, Martin, Casey, Bogu, Gireesh K., Pierce, Brandon L., Zhou, Yi-Hui, Eskin, Eleazar, Reverter, Ferran, Guigó, Roderic, Teran, Nicole A., Lek, Monkol, Leinweber, William F., Ardlie, Kristin G., Kopen, Gene, Ongen, Halit, Lonsdale, John T., Hall, Ira M., Bustamante, Carlos D., Quon, Gerald, Han, Buhm, Mohammadi, Pejman, Nicolae, Dan L., Kellis, Manolis, Vivian, John, Robinson, Karna L., Davis, David A., Washington, Michael, Montroy, Robert G., Craft, Brian, Wang, Gao, Garrido-Martín, Diego, Taylor, Kieron, Linder, Sandra, Hadley, Kane, Addington, Anjene M., Davis, Joe R., Siminoff, Laura A., Miklos, Mark, Tsang, Emily K., Diegel, Morgan, Mash, Deborah C., McDowell, Ian C., Lockhart, Nicole C., Payne, Anthony J., Abell, Nathan S., Cummings, Beryl B., Wheeler, Joseph, Matose, Takunda, Demanelis, Kathryn, Gliner, Genna, Stephens, Matthew, McDonald, Alisa, Rao, Abhi, Foster, Barbara A., Frésard, Laure, Brown, Andrew A., Zhang, Rui, Rinaldi, Nicola J., Gillard, Bryan M., Zerbino, Daniel R., Sabatti, Chiara, Moore, Helen M., Hasz, Richard, Brigham, Lori E., Zaugg, Judith B., Jian, Ruiqi, Conrad, Donald F., Snyder, Michael P., Im, Hae Kyung, Wu, Fan, MacArthur, Daniel G., Liu, Boxiang, Gamazon, Eric R., Jiang, Lihua, Sammeth, Michael, Johns, Christopher, Maurano, Matthew T., Hansen, Kasper D., Kang, Eun Yong, Myer, Kevin, Tang, Hua, Johnson, Mark, Fernando, Marian S., Smith, Anna M., Urbut, Sarah, Gould, Sarah E., Van Wittenberghe, Nicholas, Lee, Christopher M., Engelhardt, Barbara E., Panousis, Nikolaos, Palowitch, John J., Kibriya, Muhammad G., Sheppard, Dan, McCarthy, Mark I., Ndungu, Anne W., Valentino, Kimberly M., Sodaei, Reza, Sandstrom, Richard, Parsana, Princy, Kim, Yungil, Kumar, Rachna, Chan, Joanne, Little, A. Roger, Shimko, Tyler C., Volpi, Simona, Li, Qin, Akey, Joshua M., Walters, Gary, Roe, Bryan, Undale, Anita H., Van De Bunt, Martijn, Getz, Gad, Li, Jin Billy, Mangul, Serghei, Feinberg, Andrew P., Sul, Jae Hoon, Rizzardi, Lindsay F., Nguyen, Duyen T., Stranger, Barbara E., Um, Ki Sung, Flicek, Paul, Trevanion, Stephen J., Vaught, Jimmie B., Lockart, Nicole C., Nedzel, Jared L., Handsaker, Robert E., Hunter, Marcus, Xi, Hualin S., Bates, Daniel, Howald, Cedric, Roche, Nancy V., Koester, Susan, Huang, Katherine H., Sullivan, Timothy J., Wang, Meng, Shabalin, Andrey A., Shad, Saboor, Hariharan, Pushpa, He, Amy Z., Qi, Liqun, Lappalainen, Tuuli, Li, Xin, Carithers, Latarsha J., Mestichelli, Bernadette, Kashin, Seva, Li, Gen, Jasmine, Farzana, Juettemann, Thomas, Montgomery, Stephen B., Zhang, Hailei, Traino, Heather M., Mosavel, Maghboeba, Koester, Susan E., Lin, Shin, Jewell, Scott D., Johnson, Audra, Wang, Li
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cfa79776c13af314e0a635e5e0aac59
Akademický článek
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Autor:
Aguet, François, Brown, Andrew A., Castel, Stephane E., Davis, Joe R., Mohammadi, Pejman, Segrè, Ayellet V., Zappala, Zachary, Abell, Nathan S., Frésard, Laure, Gamazon, Eric R., Gelfand, Ellen, Gloudemans, Michael J., He, Yuan, Hormozdiari, Farhad, Li, Xiao, Li, Xin, Liu, Boxiang, Garrido-Martín, Diego, Ongen, Halit, Palowitch, John J., Park, YoSon, Peterson, Christine B., Quon, Gerald, Ripke, Stephan, Shabalin, Andrey A., Shimko, Tyler C., Strober, Benjamin J., Sullivan, Timothy J., Teran, Nicole A., Tsang, Emily K., Zhang, Hailei, Zhou, Yi-Hui, Battle, Alexis, Bustamonte, Carlos D., Cox, Nancy J., Engelhardt, Barbara E., Eskin, Eleazar, Getz, Gad, Kellis, Manolis, Li, Gen, MacArthur, Daniel G., Nobel, Andrew B., Sabbati, Chiara, Wen, Xiaoquan, Wright, Fred A., Lappalainen, Tuuli, Ardlie, Kristin G., Dermitzakis, Emmanouil T., Brown, Christopher D., Montgomery, Stephen B.
Expression quantitative trait locus (eQTL) mapping provides a powerful means to identify functional variants influencing gene expression and disease pathogenesis. We report the identification of cis-eQTLs from 7,051 post-mortem samples representing 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe30f61858ae2858caa877f8d294d26f
https://doi.org/10.1101/074450
https://doi.org/10.1101/074450
Autor:
Andersen, Erik C, Shimko, Tyler C, Crissman, Jonathan R, Ghosh, Rajarshi, Bloom, Joshua S, Seidel, Hannah S, Gerke, Justin P, Kruglyak, Leonid
Publikováno v:
G3 (Bethesda, Md.), vol 5, iss 5
The genetic variants underlying complex traits are often elusive even in powerful model organisms such as Caenorhabditis elegans with controlled genetic backgrounds and environmental conditions. Two major contributing factors are: (1) the lack of sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::77246998c8b6493eec7ad3617627ff64
https://escholarship.org/uc/item/9fs2q811
https://escholarship.org/uc/item/9fs2q811