129,671 to 129,680 of 130,392 Results
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 258.7 MB - 833 Variables, 47323 Observations - UNF:6:QeBoR9mHtQZdv/Wogf3lgA==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 188.8 MB - 833 Variables, 47323 Observations - UNF:6:RSU8+RYh31lcWzi7Z27iNg==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 8.0 KB - 2 Variables, 832 Observations - UNF:6:/9KK3Ywe98wlJNNN15HxOw==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 43.0 KB - 8 Variables, 832 Observations - UNF:6:AaKEEB0EwXobpX9hd991Hw==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 633 B - 2 Variables, 59 Observations - UNF:6:yPa57jaMlIO9wbCcCCcE3g==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Tabular Data - 40 B - 2 Variables, 4 Observations - UNF:6:ZMptJWT3FxBSa7GBn12qJg==
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
R Data - 269 B -
MD5: 0cdeb300f6b059adc518b88b77800f9b
See README.txt |
May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
Plain Text - 3.6 KB -
MD5: ab2a41d2a0eff3a476d9fb07311cd805
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May 31, 2017 -
Supporting data for "A Standard Operating Procedure for Outlier Removal in Large-Sample Epidemiological Transcriptomics Datasets"
R Data - 911.6 MB -
MD5: acefcf93dd48f460e23430e2189f6360
See README.txt |
May 23, 2017 - TROLLing
Nordrum, Maria, 2017, "Replication Data for: Correspondence Analysis of the Natural and Specialized Perfectives of the Russian verb putat’", https://doi.org/10.18710/TZYDNQ, DataverseNO, V1, UNF:6:IIcqQd/NhX1Ce83PxjZP5A== [fileUNF]
This dataset contains the database and statistical code used for a term paper in HIF-3082 Quantitative Methods in Linguistics, spring 2017. It includes two datasets (I and II). Dataset I is used for a synchronic analysis of the verb cluster putat’ ‘mix up, mess up, confuse, tangl... |