-
1
-
-
77951163222
-
Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology
-
Baggerly, K. A., and Coombes, K. R. (2009). Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology. Ann. Appl. Stat. 3, 1309-1334. doi: 10.1214/09-AOAS291.
-
(2009)
Ann. Appl. Stat.
, vol.3
, pp. 1309-1334
-
-
Baggerly, K.A.1
Coombes, K.R.2
-
2
-
-
84962053038
-
ISCB's initial reaction to The New England Journal of Medicine editorial on data sharing
-
Berger, B., Gaasterland, T., Lengauer, T., Orengo, C., Gaeta, B., Markel, S., et al. (2016). ISCB's initial reaction to The New England Journal of Medicine editorial on data sharing. PLoS Comput. Biol. 12:e1004816. doi: 10.1371/journal.pcbi.1004816.
-
(2016)
PLoS Comput. Biol.
, vol.12
-
-
Berger, B.1
Gaasterland, T.2
Lengauer, T.3
Orengo, C.4
Gaeta, B.5
Markel, S.6
-
3
-
-
73349122341
-
Avoidable waste in the production and reporting of research evidence
-
Chalmers, I., and Glasziou, P. (2009). Avoidable waste in the production and reporting of research evidence. Obstet. Gynecol. 114, 1341-1345. doi: 10.1097/AOG.0b013e3181c3020d.
-
(2009)
Obstet. Gynecol.
, vol.114
, pp. 1341-1345
-
-
Chalmers, I.1
Glasziou, P.2
-
4
-
-
84960427011
-
Data sharing and the journal
-
Drazen, J. M. (2016). Data sharing and the journal. N. Engl. J. Med. 374:e24. doi: 10.1056/NEJMe1601087.
-
(2016)
N. Engl. J. Med.
, vol.374
-
-
Drazen, J.M.1
-
5
-
-
84962568410
-
The process of analyzing data is the emergent feature of data science
-
Emmert-Streib, F., Moutari, S., and Dehmer, M. (2016). The process of analyzing data is the emergent feature of data science. Front. Genet. 7:12. doi: 10.3389/fgene.2016.00012.
-
(2016)
Front. Genet.
, vol.7
, pp. 12
-
-
Emmert-Streib, F.1
Moutari, S.2
Dehmer, M.3
-
6
-
-
84919389078
-
Challenges of big data analysis
-
Fan, J., Han, F., and Liu, H. (2014). Challenges of big data analysis. Natl. Sci. Rev. 1, 293-314. doi: 10.1093/nsr/nwt032.
-
(2014)
Natl. Sci. Rev.
, vol.1
, pp. 293-314
-
-
Fan, J.1
Han, F.2
Liu, H.3
-
7
-
-
84946018451
-
Meta-research: evaluation and improvement of research methods and practices
-
Ioannidis, J. P., Fanelli, D., Dunne, D. D., and Goodman, S. N. (2015). Meta-research: evaluation and improvement of research methods and practices. PLoS Biol. 13:e1002264. doi: 10.1371/journal.pbio.1002264.
-
(2015)
PLoS Biol.
, vol.13
-
-
Ioannidis, J.P.1
Fanelli, D.2
Dunne, D.D.3
Goodman, S.N.4
-
8
-
-
33846563409
-
Why most published research findings are false
-
Ioannidis, J. P. A. (2005). Why most published research findings are false. PLoS Med. 2:e124. doi: 10.1371/journal.pmed.0020124.
-
(2005)
PLoS Med.
, vol.2
-
-
Ioannidis, J.P.A.1
-
9
-
-
82755192534
-
Improving validation practices in "omics" research
-
Ioannidis, J. P. A., and Khoury, M. J. (2011). Improving validation practices in "omics" research. Science 334, 1230-1232. doi: 10.1126/science.1211811.
-
(2011)
Science
, vol.334
, pp. 1230-1232
-
-
Ioannidis, J.P.A.1
Khoury, M.J.2
-
12
-
-
85001821033
-
Data sharing
-
Longo, D. L., and Drazen, J. M. (2016). Data sharing. N. Engl. J. Med. 374, 276-277. doi: 10.1056/NEJMe1516564.
-
(2016)
N. Engl. J. Med.
, vol.374
, pp. 276-277
-
-
Longo, D.L.1
Drazen, J.M.2
-
13
-
-
84878979335
-
Biology: the big challenges of big data
-
Marx, V. (2013). Biology: the big challenges of big data. Nature 498, 255-260. doi: 10.1038/498255a.
-
(2013)
Nature
, vol.498
, pp. 255-260
-
-
Marx, V.1
-
14
-
-
84960192581
-
#IAmAResearchParasite
-
McNutt, M. (2016). #IAmAResearchParasite. Science 351, 1005-1005. doi: 10.1126/science.aaf4701.
-
(2016)
Science
, vol.351
, pp. 1005-1005
-
-
McNutt, M.1
-
15
-
-
78651246674
-
Retraction: genomic signatures to guide the use of chemotherapeutics
-
Potti, A., Dressman, H. K., Bild, A., Riedel, R. F., Chan, G., Sayer, R., et al. (2011). Retraction: genomic signatures to guide the use of chemotherapeutics. Nat. Med. 17:135. doi: 10.1038/nm0111-135.
-
(2011)
Nat. Med.
, vol.17
, pp. 135
-
-
Potti, A.1
Dressman, H.K.2
Bild, A.3
Riedel, R.F.4
Chan, G.5
Sayer, R.6
-
16
-
-
84872596110
-
Reuse of public genome-wide gene expression data
-
Rung, J., and Brazma, A. (2013). Reuse of public genome-wide gene expression data. Nat. Rev. Genet. 14, 89-99. doi: 10.1038/nrg3394.
-
(2013)
Nat. Rev. Genet.
, vol.14
, pp. 89-99
-
-
Rung, J.1
Brazma, A.2
-
17
-
-
84955481124
-
Sharing clinical trial data a proposal from the international committee of medical journal editors
-
Taichman, D. B., Backus, J., Baethge, C., Bauchner, H., de Leeuw, P. W., Drazen, J. M., et al. (2016). Sharing clinical trial data a proposal from the international committee of medical journal editors. N. Engl. J. Med. 374, 384-386. doi: 10.1056/NEJMe1515172.
-
(2016)
N. Engl. J. Med.
, vol.374
, pp. 384-386
-
-
Taichman, D.B.1
Backus, J.2
Baethge, C.3
Bauchner, H.4
de Leeuw, P.W.5
Drazen, J.M.6
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