Data from: Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia

Cesano A, Willman CL, Kopecky KJ, Gayko U, Putta S, Louie B, Westfall M, Purvis N, Spellmeyer DC, Marimpietri C, Cohen AC, Hackett J, Shi J, Walker MG, Sun Z, Paietta E, Tallman MS, Cripe LD, Atwater S, Appelbaum FR, Radich JP

Date Published: April 21, 2015

DOI: http://dx.doi.org/10.5061/dryad.94r9s

 

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Title README
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Title Samples to File Mapping
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Description Mapping information between Sample IDs, modulation condition to FCS and Gating image files.
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Title Flow Cytometry Data (FCS FIles) and Gating Image Files
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Description For each sample data is include for three wells: unmodulated (UM) condition at 15 min timepoint, unmodulated condition at 24 hour timepoint and AraC+Daunorubicin treated condition at 24 hour timepoint. For each well the zipped archive file consists of one FCS files and one gating image file.
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When using this data, please cite the original publication:

Cesano A, Willman CL, Kopecky KJ, Gayko U, Putta S, Louie B, Westfall M, Purvis N, Spellmeyer DC, Marimpietri C, Cohen AC, Hackett J, Shi J, Walker MG, Sun Z, Paietta E, Tallman MS, Cripe LD, Atwater S, Appelbaum FR, Radich JP (2015) Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia. PLOS ONE 10(4): e0118485. http://dx.doi.org/10.1371/journal.pone.0118485

Additionally, please cite the Dryad data package:

Cesano A, Willman CL, Kopecky KJ, Gayko U, Putta S, Louie B, Westfall M, Purvis N, Spellmeyer DC, Marimpietri C, Cohen AC, Hackett J, Shi J, Walker MG, Sun Z, Paietta E, Tallman MS, Cripe LD, Atwater S, Appelbaum FR, Radich JP (2015) Data from: Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.94r9s
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