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81“…Results, illustrated using NCI60 and NCI-ALMANAC databases, demonstrate that the ensemble approaches can provide significant improvement in prediction performance as compared to individual models. …”
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82por Jafari, Mohieddin, Mirzaie, Mehdi, Bao, Jie, Barneh, Farnaz, Zheng, Shuyu, Eriksson, Johanna, Heckman, Caroline A., Tang, Jing“…Then, the clustering results are leveraged to discover effective multi-targeted drug combinations, which are also supported by more evidence using GDSC and ALMANAC databases. The potency and synergy levels of selective drug combinations are corroborated against monotherapy in three cell lines for acute myeloid leukaemia in vitro. …”
Publicado 2022
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83“…Here, we set out to examine the impact of different methodological choices on the performance of multimodal DL-based drug synergy prediction methods, including the use of different input data types, preprocessing steps and model architectures. Focusing on the NCI ALMANAC dataset, we found that feature selection based on prior biological knowledge has a positive impact—limiting gene expression data to cancer or drug response-specific genes improved performance. …”
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84“…Several randomised controlled trials (including ALMANAC) are currently underway. British Journal of Cancer (2002) 87, 691–693. doi:10.1038/sj.bjc.6600557 www.bjcancer.com © 2002 Cancer Research UK…”
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85por Pinsonneault, Julia K., Frater, John T., Kompa, Benjamin, Mascarenhas, Roshan, Wang, Danxin, Sadee, Wolfgang“…Moreover, rs2144025 was significantly associated with ESR1 mRNA levels in the Brain eQTL Almanac and in brain regions in the Genotype-Tissue Expression project. …”
Publicado 2017
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86por Chen, Jie, Huang, Pei, He, Yachao, Shen, Junyi, Du, Juanjuan, Cui, Shishuang, Chen, Shengdi, Ma, Jianfang“…Then, we performed a query in Genotype-tissue Expression (GTEx), Brain eQTL Almanac (Braineac) databases and Blood expression quantitative trait loci (eQTL) browser. …”
Publicado 2019
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87“…CONCLUSIONS: The performance of SYNPRED rivals that of the existing methods that tackle the same problem, yielding unbiased results trained with one of the most comprehensive datasets available (NCI ALMANAC). The leveraging of different reference models allowed deeper insights into which of them can be more appropriately used for synergy prediction. …”
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88por Joisa, Chinmaya U., Chen, Kevin A., Beville, Samantha, Stuhlmiller, Timothy, Berginski, Matthew E., Okumu, Denis, Golitz, Brian T., Johnson, Gary L., Gomez, Shawn M.“…We then integrated these with baseline transcriptomics from CCLE to build robust machine learning models to predict cell line sensitivity from NCI-ALMANAC across nine cancer types, with model accuracy R(2) ~ 0.75–0.9 after feature selection using elastic-net regression. …”
Publicado 2023
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89por Hancock, Dana B., Guo, Yuelong, Reginsson, Gunnar W., Gaddis, Nathan C., Lutz, Sharon M., Sherva, Richard, Loukola, Anu, Minica, Camelia, Markunas, Christina A., Han, Younghun, Young, Kendra A., Gudbjartsson, Daniel F., Gu, Fangyi, McNeil, Daniel W., Qaiser, Beenish, Glasheen, Cristie, Olson, Sean, Landi, Maria Teresa, Madden, Pamela A. F., Farrer, Lindsay A., Vink, Jacqueline, Saccone, Nancy L., Neale, Michael C., Kranzler, Henry R., McKay, James, Hung, Rayjean J., Amos, Christopher I., Marazita, Mary L., Boomsma, Dorret I., Baker, Timothy B., Gelernter, Joel, Kaprio, Jaakko, Caporaso, Neil E., Thorgeirsson, Thorgeir E., Hokanson, John E., Bierut, Laura J., Stefansson, Kari, Johnson, Eric O.“…Moreover, rs910083-C was implicated as a cis-methylation quantitative trait locus (QTL) variant associated with higher DNMT3B methylation in fetal brain (N=166, P=2.3×10(−26)) and a cis-expression QTL variant associated with higher DNMT3B expression in adult cerebellum from the Genotype-Tissue Expression project (N=103, P=3.0×10(−6)) and the independent Brain eQTL Almanac (N=134, P=0.028). This novel DNMT3B cis-acting QTL variant highlights the importance of genetically influenced regulation in brain on the risks of nicotine dependence, heavy smoking, and consequent lung cancer.…”
Publicado 2017
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90por Bennett, Charles L., Hoque, Shamia, Olivieri, Nancy, Taylor, Matthew A., Aboulafia, David, Lubaczewski, Courtney, Bennett, Andrew C., Vemula, Jay, Schooley, Benjamin, Witherspoon, Bartlett J., Godwin, Ashley C, Ray, Paul S., Yarnold, Paul R., Ausdenmoore, Henry C., Fishman, Marc, Herring, Georgne, Ventrone, Anne, Aldaco, Juan, Hrushesky, William J., Restaino, John, Thomsen, Henrik S., Yarnold, Paul R., Marx, Robert, Migliorati, Cesar, Ruggiero, Salvatore, Nabhan, Chadi, Carson, Kenneth R., McKoy, June M., Yang, Y. Tony, Schoen, Martin W., Knopf, Kevin, Martin, Linda, Sartor, Oliver, Rosen, Steven, Smith, William K.“…FUNDING: This work received support from the National Cancer Institute (1R01 CA102713 (CLB), https://www.nih.gov/about-nih/what-we-do/nih-almanac/national-cancer-institute-nci; and two Pilot Project grants from the American Cancer Society's Institutional Grant Award to the University of South Carolina (IRG-13–043–01) https://www.cancer.org/ (SH; BS).…”
Publicado 2020
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91por Lombard, Fabien, Bourdin, Guillaume, Pesant, Stéphane, Agostini, Sylvain, Baudena, Alberto, Boissin, Emilie, Cassar, Nicolas, Clampitt, Megan, Conan, Pascal, Da Silva, Ophélie, Dimier, Céline, Douville, Eric, Elineau, Amanda, Fin, Jonathan, Flores, J. Michel, Ghiglione, Jean-François, Hume, Benjamin C. C., Jalabert, Laetitia, John, Seth G., Kelly, Rachel L., Koren, Ilan, Lin, Yajuan, Marie, Dominique, McMinds, Ryan, Mériguet, Zoé, Metzl, Nicolas, Paz-García, David A., Pedrotti, Maria Luiza, Poulain, Julie, Pujo-Pay, Mireille, Ras, Joséphine, Reverdin, Gilles, Romac, Sarah, Rouan, Alice, Röttinger, Eric, Vardi, Assaf, Voolstra, Christian R., Moulin, Clémentine, Iwankow, Guillaume, Banaigs, Bernard, Bowler, Chris, de Vargas, Colomban, Forcioli, Didier, Furla, Paola, Galand, Pierre E., Gilson, Eric, Reynaud, Stéphanie, Sunagawa, Shinichi, Sullivan, Matthew B., Thomas, Olivier P., Troublé, Romain, Thurber, Rebecca Vega, Wincker, Patrick, Zoccola, Didier, Allemand, Denis, Planes, Serge, Boss, Emmanuel, Gorsky, Gaby“…Environmental context data were obtained from taxonomic registries, gazetteers, almanacs, climatologies, operational biogeochemical models, and satellite observations. …”
Publicado 2023
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92“…Public holidays and lunar phases were obtained through almanacs for each year; and school vacation period was determined by reference to a school academic calendar. …”
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93por Hu, Ying, Wang, Huichun, Jia, Huiping, Pen, Maodeji, Liu, Nian, Wei, Jingjing, Zhou, Biyao“…The results showed that in grasslands with different degrees of desertification, Stellera chromosome (3.90), Thermopsis lanceolate (3.52) and Aster almanacs (3.99) had larger niche widths, which were wide-area species of plant communities in the desertification area. …”
Publicado 2022
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94por Zischka, K A“…Beginning with the basics of positional astronomy, this guide moves on to the more complex math necessary to understand the ephemerides, tables showing the future positions of the stars and planets. These astronomical almanacs were the satellite navigation of their day. …”
Publicado 2018
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95“…METHODS: Data for this retrospective study was provided from Statistical Almanacs of Inpatient Services (2001-2006). Hospitals in each of the 81 provinces were grouped into two categories: public and private. …”
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