851 to 860 of 1,076 Results
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.6 MB -
MD5: a67db1fd9be1a73f23868defc693fef1
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.8 MB -
MD5: cc1b93ea8599d80b8015bd7e1c4d9a52
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.6 MB -
MD5: ad1f3c7d9ed7f068144f9c8013a9c39b
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.7 MB -
MD5: 7fdf62082d87430b094f886c58514a99
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.7 MB -
MD5: 2b1273a257137621f2f10ab53fde7c4e
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 19.6 MB -
MD5: 0a03dbfb36a9a8f6fdc534dcbae99e63
This file contains raw simulated counts before the removal of low-expression targets in a specific generated data set. The data is filtered before estimating model parameters. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: 1a54cbae199a32e7cf0cdaa5fb3750a5
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB -
MD5: b2f118c9b37bb83de46a8237133e2872
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 4.4 MB -
MD5: ccfc5648379a12331d70d4db737a5551
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
Mar 25, 2026 -
Simulated data sets for: seqwrap: an R package for flexible iterative fitting of high-dimensional data
Unknown - 5.3 MB -
MD5: ebca9c2d77785972b12e29ff7f4443d3
This file contains model estimates from a specific model and data set, which are stored in `data_sim/estimates` and `data_sim/estimates2`. The naming convention follows `[model]_estimates_[dataset].RDS`, where model refers to a specific model specification, and dataset refers to a data set within a dispersion scenario. |
