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- Creator:
- Kidd, Jeffrey M., Sharpton, Thomas J., Bobo, Dean, Norman, Paul J., Martin, Alicia R., Carpenter, Meredith L., Sikora, Martin, Gignoux, Christopher R., Nemat-Gorgani, Neda, Adams, Alexandra, Guadalupe, Moraima, Guo, Xiaosen, Feng, Qiang, Li, Yingrui, Liu, Xiao, Parham, Peter, Hoal, Eileen G., Feldman, Marcus W., Pollard, Katherine S., Wall, Jeffrey D., Bustamante, Carlos D., and Henn, Brenna M.
- Abstract:
- BACKGROUND: Targeted capture of genomic regions reduces sequencing cost while generating higher coverage by allowing biomedical researchers to focus on specific loci of interest, such as exons. Targeted capture also has the potential to facilitate the generation of genomic data from DNA collected via saliva or buccal cells. DNA samples...
- Full Text:
- Guadalupe8, Xiaosen Guo9, Qiang Feng9, Yingrui Li9, Xiao Liu9, Peter Parham6, Eileen G. Hoal10, Marcus W
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- Creator:
- Kidd, Jeffrey M., Sharpton, Thomas J., Bobo, Dean, Norman, Paul J., Martin, Alicia R., Carpenter, Meredith L., Sikora, Martin, Gignoux, Christopher R., Nemat-Gorgani, Neda, Adams, Alexandra, Guadalupe, Moraima, Guo, Xiaosen, Feng, Qiang, Li, Yingrui, Liu, Xiao, Parham, Peter, Hoal, Eileen G., Feldman, Marcus W., Pollard, Katherine S., Wall, Jeffrey D., Bustamante, Carlos D., and Henn, Brenna M.
- Abstract:
- BACKGROUND: Targeted capture of genomic regions reduces sequencing cost while generating higher coverage by allowing biomedical researchers to focus on specific loci of interest, such as exons. Targeted capture also has the potential to facilitate the generation of genomic data from DNA collected via saliva or buccal cells. DNA samples...
- Full Text:
- , Xiaosen Guo9, Qiang Feng9, Yingrui Li9, Xiao Liu9, Peter Parham6, Eileen G Hoal10, Marcus W Feldman11
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- Creator:
- Kidd, Jeffrey M., Sharpton, Thomas J., Bobo, Dean, Norman, Paul J., Martin, Alicia R., Carpenter, Meredith L., Sikora, Martin, Gignoux, Christopher R., Nemat-Gorgani, Neda, Adams, Alexandra, Guadalupe, Moraima, Guo, Xiaosen, Feng, Qiang, Li, Yingrui, Liu, Xiao, Parham, Peter, Hoal, Eileen G., Feldman, Marcus W., Pollard, Katherine S., Wall, Jeffrey D., Bustamante, Carlos D., and Henn, Brenna M.
- Abstract:
- BACKGROUND: Targeted capture of genomic regions reduces sequencing cost while generating higher coverage by allowing biomedical researchers to focus on specific loci of interest, such as exons. Targeted capture also has the potential to facilitate the generation of genomic data from DNA collected via saliva or buccal cells. DNA samples...
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- Creator:
- Kidd, Jeffrey M., Sharpton, Thomas J., Bobo, Dean, Norman, Paul J., Martin, Alicia R., Carpenter, Meredith L., Sikora, Martin, Gignoux, Christopher R., Nemat-Gorgani, Neda, Adams, Alexandra, Guadalupe, Moraima, Guo, Xiaosen, Feng, Qiang, Li, Yingrui, Liu, Xiao, Parham, Peter, Hoal, Eileen G., Feldman, Marcus W., Pollard, Katherine S., Wall, Jeffrey D., Bustamante, Carlos D., and Henn, Brenna M.
- Abstract:
- BACKGROUND: Targeted capture of genomic regions reduces sequencing cost while generating higher coverage by allowing biomedical researchers to focus on specific loci of interest, such as exons. Targeted capture also has the potential to facilitate the generation of genomic data from DNA collected via saliva or buccal cells. DNA samples...
- Resource Type:
- Article
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- Creator:
- Goodson, William H., III, Lowe, Leroy, Carpenter, David O., Gilbertson, Michael, Manaf Ali, Abdul, Lopez de Cerain Salsamendi, Adela, Lasfar, Ahmed, Carnero, Amancio, Azqueta, Amaya, Amedei, Amedeo, Charles, Amelia K., Collins, Andrew R., Ward, Andrew, Salzberg, Anna C., Colacci, Annamaria, Olsen, Ann-Karin, Berg, Arthur, Barclay, Barry J., Zhou, Binhua P., Blanco-Aparicio, Carmen, Baglole, Carolyn J., Dong, Chenfang, Mondello, Chiara, Hsu, Chia-Wen, Naus, Christian C., Yedjou, Clement, Curran, Colleen S., Laird, Dale W., Koch, Daniel C., Carlin, Danielle J., Felsher, Dean W., Roy, Debasish, Brown, Dustin G., Ratovitski, Edward, Ryan, Elizabeth P., Corsini, Emanuela, Rojas, Emilio, Moon, Eun-Yi, Laconi, Ezio, Marongiu, Fabio, Al-Mulla, Fahd, Chiaradonna, Ferdinando, Darroudi, Firouz, Martin, Francis L., Van Schooten, Frederik J., Goldberg, Gary S., Wagemaker, Gerard, Nangami, Gladys N., Calaf, Gloria M., Williams, Graeme P., Wolf, Gregory T., Koppen, Gudrun, Brunborg, Gunnar, Lyerly, H. Kim, Krishnan, Harini, Ab Hamid, Hasiah, Yasaei, Hemad, Sone, Hideko, Kondoh, Hiroshi, Salem, Hosni K., Hsu, Hsue-Yin, Park, Hyun Ho, Koturbash, Igor, Miousse, Isabelle R., Scovassi, A.Ivana, Klaunig, James E., Vondráček, Jan, Raju, Jayadev, Roman, Jesse, Wise, John P., Sr., Whitfield, Jonathan R., Woodrick, Jordan, Christopher, Joseph A., Ochieng, Josiah, Martinez-Leal, Juan F., Weisz, Judith, Kravchenko, Julia, Sun, Jun, Prudhomme, Kalan R., Narayanan, Kannan B., Cohen-Solal, Karine A., Moorwood, Kim, Gonzalez, Laetitia, Soucek, Laura, Jian, Le, D’Abronzo, Leandro S., Lin, Liang-Tzung, Li, Lin, Gulliver, Linda, McCawley, Lisa J., Memeo, Lorenzo, Vermeulen, Louis, Leyns, Luc, Zhang, Luoping, Valverde, Mahara, Khatami, Mahin, Romano, Maria F., Chapellier, Marion, Williams, Marc A., Wade, Mark, Manjili, Masoud H., Lleonart, Matilde E., Xia, Menghang, Gonzalez Guzman, Michael J., Karamouzis, Michalis V., Kirsch-Volders, Micheline, Vaccari, Monica, Kuemmerle, Nancy B., Singh, Neetu, Cruickshanks, Nichola, Kleinstreuer, Nicole, van Larebeke, Nik, Ahmed, Nuzhat, Ogunkua, Olugbemiga, Krishnakumar, P. K., Vadgama, Pankaj, Marignani, Paola A., Ghosh, Paramita M., Ostrosky-Wegman, Patricia, Thompson, Patricia A., Dent, Paul, Heneberg, Petr, Darbre, Philippa, Leung, Po Sing, Nangia-Makker, Pratima, Cheng, Qiang, Robey, R. Brooks, Al-Temaimi, Rabeah, Roy, Rabindra, Andrade-Vieira, Rafaela, Sinha, Ranjeet K., Mehta, Rekha, Vento, Renza, Di Fiore, Riccardo, Ponce-Cusi, Richard, Dornetshuber-Fleiss, Rita, Nahta, Rita, Castellino, Robert C., Palorini, Roberta, Hamid, Roslida A., Langie, Sabine A. S., Eltom, Sakina E., Brooks, Samira A., Ryeom, Sandra, Wise, Sandra S., Bay, Sarah N., Harris, Shelley A., Papagerakis, Silvana, Romano, Simona, Pavanello, Sofia, Eriksson, Staffan, Forte, Stefano, Casey, Stephanie C., Luanpitpong, Sudjit, Lee, Tae-Jin, Otsuki, Takemi, Chen, Tao, Massfelder, Thierry, Sanderson, Thomas, Guarnieri, Tiziana, Hultman, Tove, Dormoy, Valérian, Odero-Marah, Valerie, Sabbisetti, Venkata, Maguer-Satta, Veronique, Rathmell, W. Kimryn, Engström, Wilhelm, Decker, William K., Bisson, William H., Rojanasakul, Yon, Luqmani, Yunus, Chen, Zhenbang, and Hu, Zhiwei
- Abstract:
- Lifestyle factors are responsible for a considerable portion of cancer incidence worldwide, but credible estimates from the World Health Organization and the International Agency for Research on Cancer (IARC) suggest that the fraction of cancers attributable to toxic environmental exposures is between 7% and 19%. To explore the hypothesis that...
- Resource Type:
- Article
- Full Text:
- Heneberg104, Philippa Darbre105, Po Sing Leung78, Pratima Nangia-Makker106, Qiang (Shawn) Cheng107, R.Brooks
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- Creator:
- Wang, Xinyao
- Abstract:
- Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
- Resource Type:
- Masters Thesis
- Full Text:
- point zero, which could cause training process not stable and oscillating near zero. Feng et al . [15
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- Creator:
- Behnoudfar, Ali
- Abstract:
- In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
- Resource Type:
- Masters Thesis
- Full Text:
- Computing Machinery. [15] Yihao Feng, Dilin Wang, and Qiang Liu. Learning to draw samples with amortized
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- Creator:
- Xing, Zhenyu, Wang, Bao, Gao, Wenyang, Pan, Changqing, Halsted, Joshua K., Chong, Elliot S., Lu, Jun, Wang, Xingfeng, Luo, Wei, Chang, Chih-Hung, Wen, Youhai, Ma, Shengqian, Amine, Khalil, and Ji, Xiulei
- Abstract:
- Converting CO2 to valuable materials is attractive.Herein, we report using simple metallothermic reactions to reduce atmospheric CO2 to dense nanoporous graphene. By using a Zn/Mg mixture as a reductant, the resulted nanoporous graphene exhibits highly desirable properties: high specific surface area of 1900 m2/g, a great conductivity of 1050 S/m...
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- (2010) 480–483. [11] Q. Li, R.R. Jiang, Y.Q. Dou, Z.X. Wu, T. Huang, D. Feng, J.P. Yang, A.S. Yu, D.Y
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- Creator:
- Khoubani, Ali
- Abstract:
- Bio-cementation is a promising method for the liquefiable mitigation of loose saturated sands. In the improvement process a bacterium that can be found naturally in soil deposits is fed urea. The bacterium consumes and breaks down the urea to form ammonium and carbonate. In the presence of calcium, calcium carbonate...
- Resource Type:
- Dissertation
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- Creator:
- Shalash, Ward
- Abstract:
- Back pain is the leading cause of disability worldwide, entailing a significant socioeconomic impact. A primary source of back pain can be attributed to intervertebral disc (IVD) degeneration allowing nerve ingrowth, facet joint arthritis, disc bulging, and osteophyte formations that press on nearby nerve roots or the spinal cord. While...
- Resource Type:
- Dissertation