38 results on '"Richter, Lothar"'
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2. An expanded evaluation of protein function prediction methods shows an improvement in accuracy
3. Finding Relational Associations in HIV Resistance Mutation Data
4. SINDBAD and SiQL: Overview, Applications and Future Developments
5. SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
6. Inductive Databases in the Relational Model: The Data as the Bridge
7. Predicting a small molecule-kinase interaction map: A machine learning approach
8. PredictProtein—an open resource for online prediction of protein structural and functional features
9. Finding Relational Associations in HIV Resistance Mutation Data
10. Mining of Massive Datasets Jure Leskovec Anand Rajaraman Jeffrey D. Ullman
11. Chlorobium ferrooxidans sp. nov., a phototrophic green sulfur bacterium that oxidizes ferrous iron in coculture with a “Geospirillum” sp. strain
12. Characterization of bacterial operons consisting of two tubulins and a kinesin-like gene by the novel Two-Step Gene Walking method
13. Analyzing microarray data using quantitative association rules
14. ARB: a software environment for sequence data
15. Increased biliary secretion of cysteinyl-leukotrienes in human bile duct obstruction
16. Manpower Planning in Developing Countries: Changing Approaches and Emphases.
17. Improving Employment and Manpower Information in Developing Countries. Results and Lessons of an ILO Technical Co-operation Programme.
18. Manpower and Employment Information Through Key Informants.
19. New Sources of Manpower Information in Developing Countries.
20. Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. Mining of Massive Datasets. Cambridge, Cambridge University Press
21. Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy
22. An expanded evaluation of protein function prediction methods shows an improvement in accuracy
23. SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model
24. Bausteine der Chemie Allgemeine Chemie 262 Seiten mit 93 Bildern und 32 Tabellen, Format 14,7 × 21,5 cm; Broschur 12,20 M
25. An inductive database and query language in the relational model
26. Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
27. LEARNING A PREDICTIVE MODEL FOR GROWTH INHIBITION FROM THE NCI DTP HUMAN TUMOR CELL LINE SCREENING DATA: DOES GENE EXPRESSION MAKE A DIFFERENCE?
28. Inductive Databases in the Relational Model: The Data as the Bridge.
29. Lactobacillus amylolyticus sp. nov., Isolated from Beer Malt and Beer Wort
30. Benetzungsverhalten kohlehydrathaltiger Si-Tenside auf perfluorierten Oberflächen und die Modifizierung rauher Metalloberflächen durch hydrophilierte Polysiloxannetzwerke
31. Silicon Containing Structures at Interfaces: The Wetting Behavior of Carbohydrate Modified Si Surfactants on Perfluorinated Surfaces and the Modification of Rough Metal Surfaces by Hydrophilic Polysiloxane Networks
32. Beeinflussung der benetzung von blattoberflächen durch tenside
33. Adsorption onto fluoropolymers
34. An Outline of Rural Manpower Assessment and Planning in Developing Countries: III.
35. Lactobacillus amylolyticussp. nov., Isolated from Beer Malt and Beer Wort
36. JureLeskovec, AnandRajaraman, and Jeffrey D.Ullman. Mining of Massive Datasets. Cambridge, Cambridge University Press.
37. An expanded evaluation of protein function prediction methods shows an improvement in accuracy
38. Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data: does gene expression make a difference?
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