DataverseNO

Metrics

1,990,869 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

License: CC0 1.0

291 to 300 of 134,712 Results

clean_dataset_2.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.3 MB - MD5: 44c1871955190d299c9e64e8ba6972a9 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_3.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: 1a6bac9cff873f3a88e8c27836be25ae This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_4.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.3 MB - MD5: e6e991f0b203877414ca6320826478b6 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_5.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.3 MB - MD5: 36e4c63119be10ce28a37d884a8f19f5 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_6.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: 0ff053ec9fb746984042f132717eb2ca This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_7.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: a6cfc1899d5cec807947fdcea1f317ae This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_8.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: becc50094fe0e1c235cc8b43971d1797 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
clean_dataset_9.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 6.4 MB - MD5: 5c8ee9b62cb966e3d8274ea9764ea4a9 This file contains filtered simulated counts after removal of low-expression targets in a specific generated data set. The data is used to estimate model parameters.
population_effects_1.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 56.8 KB - MD5: 9810ec4f54bbc8b567703d24734d27fd This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.
population_effects_10.RDS Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data Unknown - 56.5 KB - MD5: 6a74021f0d186f77a181699a9e62738e This file contains the population effects used to simulate data for specific targets in specific data sets. Population effects are set to 0 or non-zero for evaluating model performance.

clean_dataset_2.RDS

Mar 25, 2026 - Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data

Unknown - 6.3 MB -