Channel:  DREAM

bioRxiv posts many COVID19-related papers. A reminder: they have not been formally peer-reviewed and should not guide health-related behavior or be reported in the press as conclusive.

22 Articles

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: the Multi-Targeting Drug DREAM Challenge
Xiong, Z., Jeon, M., Allaway, R. J., Kang, J., Park, D., Lee, J., Jeon, H., Ko, M., Jiang, H., Zheng, M., Tan, A. C., Guo, X., The Multi-Targeting Drug DREAM Challenge Community, , Dang, K. K., Tropsha, A., Hecht, C., Das, T. K., Carlson, H. A., Abagyan, R., Guinney, J., Schlessinger, A., Cagan, R.
10.1101/2021.02.15.430538 — Posted: 2021-06-03
DreamAI: algorithm for the imputation of proteomics data
ma, w., Kim, S., Chowdhury, S., li, z., YANG, M., Yoo, S., Petralia, F., Jacobsen, J., Li, J. J., Ge, X., Li, K., Yu, T., Calinawan, A. P., Edwards, N. J., Payne, S. H., Boutros, P. C., Rodriguez, H., Stolovitzky, G. A., Kang, J., Fenyo, D., Saez, J., Wang, P.
10.1101/2020.07.21.214205 — Posted: 2021-05-19
Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd
Gabor, A., Tognetti, M., Driessen, A., Tanevski, J., Guo, B., Cao, W., Shen, H., Yu, T., Chung, V., Single Cell Signaling in Breast Cancer DREAM Consortium, , Bodenmiller, B., Saez-Rodriguez, J.
10.1101/2021.03.23.436603 — Posted: 2021-04-12
A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data
Douglass, E. F., Allaway, R. J., Szalai, B., Wang, W., Tian, T., Fernandez-Torras, A., Realubit, R., Karan, C., Zheng, S., Pessia, A., Tanoli, Z., Jafari, M., Wan, F., Li, S., Xiong, Y., Duran-Frigola, M., Bertoni, M., Badia-i-Mompel, P., Mateo, L., Guitart-Pla, O., Chung, V., DREAM CTD-squared Pancancer Drug Activity Challenge Consortium, , Tang, J., Zeng, J., Aloy, P., Saez-Rodriguez, J., Guinney, J., Gerhard, D. S., Califano, A.
10.1101/2020.12.21.423514 — Posted: 2020-12-23
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
Tarca, A., Pataki, B. A., Romero, R., Sirota, M., Guan, Y., Kutum, R., Gomez-Lopez, N., Done, B., Bhatti, G., Yu, T., Andreoletti, G., Chaiworapongsa, T., Consortium, T. D. P. B. P. C., Hassan, S. S., Hsu, C.-D., Aghaeepour, N., Stolovitzky, G. A., Csabai, I., Costello, J. C.
10.1101/2020.06.05.130971 — Posted: 2020-06-06
The winning methods for predicting cellular position in the DREAM single cell transcriptomics challenge
Pham, V. V. H., Li, X., Truong, B., Nguyen, T., Liu, L., Li, J., Le, T.
10.1101/2020.05.09.086397 — Posted: 2020-05-10
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Sieberts, S. K., Schaff, J., Duda, M., Pataki, B. A., Sun, M., Snyder, P., Daneault, J.-F., Parisi, F., Costante, G., Rubin, U., Banda, P., Chae, Y., Neto, E. C., Dorsey, R., Aydın, Z., Chen, A., Elo, L. L., Espino, C., Glaab, E., Goan, E., Golabchi, F. N., Görmez, Y., Jaakkola, M. K., Jonnagaddala, J., KLEn, R., Li, D., McDaniel, C., Perrin, D., Rad, N. M., Rainaldi, E., Sapienza, S., Schwab, P., Shokhirev, N., Venäläinen, M. S., Vergara-Diaz, G., Zhang, Y., Parkinson's Disease Digital Biomarker Challenge Consortium, , Wang, Y., Guan, Y., Brunner, D., Bonato, P., Mangravite, L. M., Omberg
10.1101/2020.01.13.904722 — Posted: 2020-02-20
Crowdsourced mapping of unexplored target space of kinase inhibitors
Cichonska, A., Ravikumar, B., Allaway, R. J., Park, S., Wan, F., Isayev, O., Li, S., Mason, M. J., Lamb, A., Tanoli, Z.-u.-R., Jeon, M., Kim, S., Popova, M., Capuzzi, S., Zeng, J., Dang, K., Koytiger, G., Kang, J., Wells, C. I., Willson, T. M., The IDG-DREAM Drug-Kinase Binding Prediction Challenge Consortium, , Oprea, T. I., Schlessinger, A., Drewry, D. H., Stolovitzky, G. A., Wennerberg, K., Guinney, J., Aittokallio, T.
10.1101/2019.12.31.891812 — Posted: 2020-02-11
Ensemble Machine Learning Modeling for the Prediction of Artemisinin Resistance in Malaria
Ford, C. T., Janies, D. A.
10.1101/856922 — Posted: 2019-11-27
Predicting cellular position in the Drosophila embryo from Single-Cell Transcriptomics data
Tanevski, J., Nguyen, T., Truong, B., Karaiskos, N., Ahsen, M. E., Zhang, X., Shu, C., Hu, Y., Pham, H. V. V., Li, X., Le, T. D., Tarca, A., Bhatti, G., Romero, R., Karathanasis, N., Loher, P., Chen, Y., Ouyang, Z., Mao, D., Zhang, Y., Zand, M., Ruan, J., Hafemeister, C., Qiu, P., Tran, D., Nguyen, T., Gabor, A., Yu, T., Glaab, E., Krause, R., Banda, P., Stolovitzky, G., Rajewsky, N., Saez-Rodriguez, J., Meyer, P.
10.1101/796029 — Posted: 2019-10-10

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