Transforming Big Data into cancer-relevant insight: An initial, multi-tier approach to assess reproducibility and relevance
- Gerhard, D. S.
- Clemons, P. A.
- Shamji, A. F.
- Hon, C.
- Wagner, B. K.
- Schreiber, S. L.
- Krasnitz, A.
- Sordella, R.
- Sander, C.
- Lowe, S. W.
- Powers, S.
- Smith, K.
- Aburi, M.
- Iavarone, A.
- Lasorella, A.
- Silva, J.
- Stockwell, B. R.
- Califano, A.
- Boehm, J. S.
- Vazquez, F.
- Weir, B. A.
- Hahn, W. C.
- Khuri, F. R.
- Moreno, C. S.
- Johns, M.
- Fu, H.
- Nikolova, O.
- Mendez, E.
- Gadi, V. K.
- Margolin, A. A.
- Grandori, C.
- Kemp, C. J.
- Warren, E. H.
- Riddell, S. R.
- McIntosh, M. W.
- Gevaert, O.
- Kuo, C. J.
- Ji, H. P.
- Dhruv, H.
- Finlay, D.
- Kiefer, J.
- Kim, S.
- Vuori, K.
- Berens, M. E.
- Hangauer, M.
- Boettcher, M.
- Weissman, J. S.
- Bivona, T. G.
- Bandyopadhyay, S.
- McManus, M. T.
- McCormick, F.
- Aksoy, O.
- Simonds, E. F.
- Zheng, T.
- Chen, J.
- An, Z.
- Balmain, A.
- Weiss, W. A.
- Chen, K.
- Liang, H.
- Scott, K. L.
- Mills, G. B.
- Posner, B. A.
- MacMillan, J.
- Minna, J.
- White, M.
- Roth, M. G.
- Jagu, S.
- Mazerik, J.
DOIAbstract
The Cancer Target Discovery and Development (CTD2) Network was established to accelerate the transformation of "Big Data" into novel pharmacological targets, lead compounds, and biomarkers for rapid translation into improved patient outcomes. It rapidly became clear in this collaborative network that a key central issue was to define what constitutes sufficient computational or experimental evidence to support a biologically or clinically relevant finding. This manuscript represents a first attempt to delineate the challenges of supporting and confirming discoveries arising from the systematic analysis of large-scale data resources in a collaborative work environment and to provide a framework that would begin a community discussion to reso...
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