Big data in basic and translational cancer research.
Big data in basic and translational cancer research.
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基础和转化癌症研究中的大数据。
DOI：
10.1038/s41568-022-00502-0
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发表时间：
2022-11
期刊：
影响因子：
--
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中科院分区：
文献类型：
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作者：
Historically, the primary focus of cancer research has been molecular and clinical studies of a few essential pathways and genes. Recent years have seen the rapid accumulation of large-scale cancer omics data catalysed by breakthroughs in high-throughput technologies. This fast data growth has given rise to an evolving concept of ‘big data’ in cancer, whose analysis demands large computational resources and can potentially bring novel insights into essential questions. Indeed, the combination of big data, bioinformatics and artificial intelligence has led to notable advances in our basic understanding of cancer biology and to translational advancements. Further advances will require a concerted effort among data scientists, clinicians, biologists and policymakers. Here, we review the current state of the art and future challenges for harnessing big data to advance cancer research and treatment. The increasing size of cancer datasets requires new ways of thinking for analysing and integrating these data. In this Review, Jiang et al. discuss considerations and strategies for wielding ‘big data’ ― large, information-rich datasets ― in basic research and for translational applications such as identifying biomarkers, informing clinical trials and developing new assays and treatments.
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影响因子：
16.6
作者：
Bailey MH;Meyerson WU;Dursi LJ;Wang LB;Dong G;Liang WW;Weerasinghe A;Li S;Li Y;Kelso S;MC3 Working Group;PCAWG novel somatic mutation calling methods working group;Saksena G;Ellrott K;Wendl MC;Wheeler DA;Getz G;Simpson JT;Gerstein MB;Ding L;PCAWG Consortium
通讯作者：
PCAWG Consortium
影响因子：
13.6
作者：
Cheng K;Nair NU;Lee JS;Ruppin E
通讯作者：
Ruppin E
DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
158.5
作者：
Cardoso, F.;van't Veer, L. J.;Piccart, M.
通讯作者：
Piccart, M.
影响因子：
50.3
作者：
Bielski CM;Donoghue MTA;Gadiya M;Hanrahan AJ;Won HH;Chang MT;Jonsson P;Penson AV;Gorelick A;Harris C;Schram AM;Syed A;Zehir A;Chapman PB;Hyman DM;Solit DB;Shannon K;Chandarlapaty S;Berger MF;Taylor BS
通讯作者：
Taylor BS