User contributions
(newest | oldest) View (newer 20 | older 20) (20 | 50 | 100 | 250 | 500)
- 13:32, 25 February 2020 (diff | hist) . . (-2) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method (→Further outcomes)
- 13:30, 25 February 2020 (diff | hist) . . (+7) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method (→Outcome O2)
- 13:30, 25 February 2020 (diff | hist) . . (+30) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
- 13:29, 25 February 2020 (diff | hist) . . (-1) . . Data-driven normalization strategies for high-throughput quantitative RT-PCR (current)
- 13:29, 25 February 2020 (diff | hist) . . (+1,571) . . N Data-driven normalization strategies for high-throughput quantitative RT-PCR (Created page with "__ NUMBEREDHEADINGS__ === Citation === Mar JC, Kimura Y, Schroder K, Irvine KM, Hayashizaki Y, Suzuki H, Hume D, Quackenbush J. Data-driven normalization strategies for high-t...")
- 13:28, 25 February 2020 (diff | hist) . . (-36) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→Design for Outcome O2)
- 13:27, 25 February 2020 (diff | hist) . . (+105) . . Literature Studies (→Preprocessing high-throughput data)
- 13:27, 25 February 2020 (diff | hist) . . (0) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method (→Further comments and aspects)
- 13:27, 25 February 2020 (diff | hist) . . (-1) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method (→Design for Outcome O2)
- 13:27, 25 February 2020 (diff | hist) . . (+124) . . A comparison of methods for quantifying prediction uncertainty in systems biology (Undo revision 563 by Bwday (talk)) (Tag: Undo)
- 13:27, 25 February 2020 (diff | hist) . . (+3,543) . . Fast derivatives of likelihood functionals for ODE based models using adjoint-state method
- 13:27, 25 February 2020 (diff | hist) . . (-124) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→Design for Outcome O2)
- 13:26, 25 February 2020 (diff | hist) . . (-117) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→Design for Outcome O)
- 13:26, 25 February 2020 (diff | hist) . . (+35) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→Design for Outcome O1)
- 13:20, 25 February 2020 (diff | hist) . . (+26) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→General aspects)
- 13:19, 25 February 2020 (diff | hist) . . (-106) . . Performance of objective functions and optimization procedures for parameter estimation in system biology models (→Study design and evidence level)
- 13:18, 25 February 2020 (diff | hist) . . (+112) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→General aspects)
- 13:10, 25 February 2020 (diff | hist) . . (-52) . . A comparison of methods for quantifying prediction uncertainty in systems biology (→General aspects)
- 13:10, 25 February 2020 (diff | hist) . . (+653) . . Performance of objective functions and optimization procedures for parameter estimation in system biology models
- 13:06, 25 February 2020 (diff | hist) . . (+1,602) . . N Comprehensive evaluation of untargeted metabolomics data processing software in feature detection, quantification and discriminating marker selection (Created page with "__NUMBEREDHEADINGS__ === Citation === Li Z, Lu Y, Guo Y, Cao H, Wang Q, Shui W. Comprehensive evaluation of untargeted metabolomics data processing software in feature detecti...") (current)
(newest | oldest) View (newer 20 | older 20) (20 | 50 | 100 | 250 | 500)