Channel:  Harvard Program in Therapeutic Sciences

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.

114 Articles

Machine Learning Identifies Novel Candidates for DrugRepurposing in Alzheimer's Disease
Rodriguez, S., Hug, C., Todorov, P., Moret, N., Boswell, S. A., Evans, K., Zhou, G., Johnson, N. T., Hyman, B., Sorger, P., Albers, M. W., Sokolov, A.
10.1101/2020.05.15.098749 — Posted: 2020-05-16
Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
Magid, S. A., Jang, W.-D., Schapiro, D., Wei, D., Tompkin, J., Sorger, P. K., Pfister, H.
10.1101/2020.03.24.004085 — Posted: 2020-03-25
Comparing the efficacy of cancer therapies between subgroups in basket trials
Palmer, A. C., Plana, D., Sorger, P.
10.1101/401620 — Posted: 2020-01-14
Biomarker-guided treatment strategies for ovarian cancer identified from a heterogeneous panel of patient-derived tumor xenografts
Palmer, A. C., Plana, D., Gao, H., Korn, J. M., Yang, G., Green, J., Zhang, X., Velazquez, R., McLaughlin, M. E., Ruddy, D. A., Kowal, C., Goldovitz, J., Bullock, C., Rivera, S., Rakiec, D., Elliott, G., Fordjour, P., Meyer, R., Loo, A., Kurth, E., Engelman, J. A., Bitter, H., Sellers, W. R., Sorger, P. K., Williams, J. A.
10.1101/2020.01.08.898734 — Posted: 2020-01-13
The Kinase Chemogenomic Set (KCGS): An open science resource for kinase vulnerability identification
Wells, C. I., Al-Ali, H., Andrews, D. M., Asquith, C. R. M., Axtman, A. D., Chung, M., Dikic, I., Ebner, D., Elkins, J., Ettmayer, P., Fischer, C., Frederiksen, M., Gray, N. S., Hatch, S. B., Knapp, S., Lee, S., Lucking, U., Michaelides, M., Mills, C. E., Muller, S., Owen, D., Picado, A., Ramadan, K., Saikatendu, K. S., Schroder, M., Stolz, A., Tellechea, M., Treiber, D. K., Turunen, B. J., Vilar, S., Wang, J., Zuercher, W., Willson, T. M., Drewry, D. H.
10.1101/2019.12.22.886523 — Posted: 2019-12-23
A tool for browsing the Cancer Dependency Map reveals functional connections between genes and helps predict the efficacy and selectivity of candidate cancer drugs
Shimada, K., Muchlich, J. L., Mitchison, T. J.
10.1101/2019.12.13.874776 — Posted: 2019-12-18
Robustness and parameter geography in post-translational modification systems
Nam, K.-M., Gyori, B. M., Amethyst, S. V., Bates, D. J., Gunawardena, J.
10.1101/862003 — Posted: 2019-12-02
Systemic immune response profiling with SYLARAS implicates a role for CD45R/B220+ CD8+ T cells in glioblastoma immunology
Baker, G. J., Muhlich, J. L., Palaniappan, S. K., Moore, J. K., Davis, S. H., Santagata, S., Sorger, P. K.
10.1101/555854 — Posted: 2019-10-22
Sporadic ERK pulses drive non-genetic resistance in drug-adapted BRAFV600E melanoma cells
Gerosa, L., Chidley, C., Froehlich, F., Sanchez, G., Lim, S. K., Muhlich, J., Chen, J.-Y., Baker, G. J., Schapiro, D., Shi, T., Yi, L., Nicora, C. D., Claas, A., Lauffenburger, D. A., Qian, W.-J., Wiley, H. S., Sorger, P. K.
10.1101/762294 — Posted: 2019-09-08
GeneWalk identifies relevant gene functions for a biological context using network representation learning
Ietswaart, R., Gyori, B. M., Bachman, J. A., Sorger, P. K., Churchman, L. S.
10.1101/755579 — Posted: 2019-09-05

RSS  Channel RSS