HITS Publications

2014

• Bergmann FT, Adams R, Moodie S, Cooper J, Glont M, Golebiewski M, Hucka M, Laibe C, Miller AK, Nickerson DP, Olivier BG, Rodriguez N, Sauro HM, Scharm M, Soiland-Reyes S, Waltemath D, Yvon F, Novère NL (2014). COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project, BMC Bioinformatics 15(1),369 1349
• Chen R, Gryn’ova G, Wu Y, Coote ML, Chung S (2014). Mechanisms and Energetics of Potassium Channel Block by Local Anesthetics and Antifungal Agents, Biochemistry 53(43):6786-6792 512
• Hensen U, Gräter F, Henchman RH (2014). Macromolecular Entropy Can Be Accurately Computed from Force, Journal of Chemical Theory and Computation,10(11):4777-4781 1503
• Kügler SD, Nilsson K, Heidt J, Esser J, Schultz T (2014). Properties of optically selected BL Lacertae candidates from the SDSS, A&A 569:A95 445
• Fuller JC, Martinez M, Wade RC (2014). On Calculation of the Electrostatic Potential of a Phosphatidylinositol Phosphate-Containing Phosphatidylcholine Lipid Membrane Accounting for Membrane Dynamics, PLoS ONE 9(8):e104778 571
• Mustafa G, Yu X, Wade RC (2014). Drug Metabolism Prediction, Wiley 572
• Wittig U, Kania R, Bittkowski M, Wetsch E, Shi L, Jong L, Golebiewski M, Rey M, Weidemann A, Rojas I, Müller W (2014). Data extraction for the reaction kinetics database SABIO-RK, Perspectives in Science 1(1-6):33-40 10
• Polsterer KL, Gieseke F, Igel C, Goto T (2014). Improving the performance of photometric regression models via massive parallel feature selection, Astronomical Data Analysis Software and Systems XXIII, 485:425 447
• Gieseke F, Polsterer K, Oancea CE, Igel C (2014). Speedy Greedy Feature Selection: Better Redshift Estimation via Massive Parallelism, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges (Belgium), 23-25 April 2014 446
• Waltemath D, Bergmann FT, Chaouiya C, Czauderna T, Gleeson P, Goble C, Golebiewski M, Hucka M, Juty N, Krebs O, Novère NL, Mi H, Moraru II, Myers CJ, Nickerson D, Olivier BG, Rodriguez N, Schreiber F, Smith L, Zhang F, Bonnet E (2014). Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE), Stand. Genomic Sci. 9(3):1285-1301 1350
• Richardson D, Hemri S, Bogner K, Gneiting T, Haiden T, Pappenberger F, Scheuerer M (2014). Calibration of ECMWF forecasts, ECMWF Newsletter, 142:12–16 56
• Paine MR, Gryn'ova G, Coote ML, Barker PJ, Blanksby SJ (2014). Desorption Electrospray Ionisation Mass Spectrometry of Stabilised Polyesters Reveals Activation of Hindered Amine Light Stabilisers, Polymer Degradation and Stability 99:223-232 513
• Hemri S, Lisniak D, Klein B (2014). Ermittlung probabilistischer Abflussvorhersagen unter Berücksichtigung zensierter Daten, Hydrologie und Wasserbewirtschaftung, 58(2):84–94 1090
• Mereghetti P, Martinez M, Wade RC (2014). Long range Debye-Hückel correction for computation of grid-based electrostatic forces between biomacromolecules, BMC Biophys 7(1):4 570
• Tong R (2014). Comparative analysis of Adenylyl Cyclase binding sites (Bachelor's Thesis), Molecular Biotechnology, Faculty of Biosciences, Ruprecht-Karls University, Heidelberg 1027
• Gryn’ova G, Coote ML (2014). Radical orbital switching, Patent Application No. WO2014121327 A1 (left at PCT stage) 1127
• Hemri S, Scheuerer M, Pappenberger F, Bogner K, Haiden T (2014). Trends in the predictive performance of raw ensemble weather forecasts, Geophysical Research Letters, 41(24):9197–9205 1394
• Gneiting T, Katzfuss M (2014). Probabilistic forecasting, Annual Review of Statistics and Its Application, 1(1):125–151 1395
• Scheuerer M, Gneiting T (2014). Evaluating predictive performance, In Mathematics of Planet Earth, Lecture Notes in Earth System Sciences, Eds: Pardo-Igúzquiza E, Guardiola-Albert C, Heredia J, Moreno-Merino L, Durán J, Vargas-Guzmán J, Springer, Berlin, Heidelberg, pp. 15–18 1396
• Ziegel JF, Gneiting T (2014). Copula calibration, Electronic Journal of Statistics, 8(2):2619–2638 1397
• Dueck J, Edelmann D, Gneiting T, Richards D (2014). The affinely invariant distance correlation, Bernoulli, 20(4):2305–2330 1411
• Oswald MR, Stühmer J, Cremers D (2014). Generalized connectivity constraints for spatio-temporal 3d reconstruction, In European Conference on Computer Vision, pp. 32–46 1522
• Triebel R, Stühmer J, Souiai M, Cremers D (2014). Active online learning for interactive segmentation using sparse Gaussian processes, In German Conference on Pattern Recognition, pp. 641–652 1528