1 to 10 of 124 Results
Jul 16, 2024 -
Supplement to Trans-dimensional Diffusive Nested Sampling for Metabolic Network Inference
Markdown Text - 550 B - SHA-256: 7888a67f5981e4a01fb98a8a8328c482ddf9783fc84687830cca6fab45eb3282
brief description and link to github repo |
MATLAB Data - 299.4 MB - SHA-256: baa73456bf286b167c67017f1d6176f229586be218fa4c0dbbb349fdcb4a99ff
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 57.6 KB - SHA-256: 72fe0fa967668486bbbfd09d79b058355597d83fddfc36ec5e8737ff4c2639a8
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 18.8 KB - SHA-256: a624399deea3876f61fbb4883925f9011fc5d3d76fd6aaf5f00b9cf59505603b
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 7.9 MB - SHA-256: 99060ccea86dad2520d8ceae6e27e9731cfa55a443c43a9cb1c7e4b5a343bc87
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 1.3 MB - SHA-256: 10f1083101c3e1635cc665cc5a6857498ce0ce5e08e1f0d5c4b931b4e0559cf3
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 23.2 MB - SHA-256: ac96da0b345ea1c4d00547f7a1201b31decfcebc670dfbbf37db875b21e93489
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 4.0 MB - SHA-256: b9d70fad740c828a21c0974de5f208f51abc2d6f629573ec9de22f4390b8ec9a
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 58.6 MB - SHA-256: 2b92591c27adf89ca49a3c1582bbefc5deea4eb1fa624bbc15e766853cb80247
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Dec 18, 2020 -
Replication Data for: HOPS: high-performance library for (non-)uniform sampling of convex-constrained models
Comma Separated Values - 10.2 MB - SHA-256: 8a030828471ff0cf806113d881b4ceee9eb4e85361d6ea72a09a022a39f2252a
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