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BIOTECHNOLOGY AND LIFE SCIENCES products beginning with : S
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Salmon/Trout IGF-I, Recombinant Protein (Receptor Grade) (1 supplier)
Salmon/Trout IGF-II, Recombinant Protein (Receptor Grade) (1 supplier)
Salmonella & Shigella Antigens (3 suppliers)
Salmonella & Shigella Antiserum (2 suppliers)
Salmonella Detection Kit (4 suppliers)
Salmonella Enteritidis Antibody Test Kits (2 suppliers)
Salmonella IgG ELISA Kit (1 supplier)
Salmonella IgM ELISA Kit, Single (1 supplier)
Salmonella Immunogloblin ELISA Kits (2 suppliers)
Salmonella paratyphi C Antibody (2 suppliers)
Salmonella Real Time PCR Kit (3 suppliers)
Salmonella Seattle Antibody (2 suppliers)
Salmonella Shigella Agar (5 suppliers)
Salmonella typhi IgG ELISA Kit (2 suppliers)
Salmonella typhi IgM ELISA Kit (2 suppliers)
Salmonella typhimurium Antibody (1 supplier)
Salmonella virchow Antibody (1 supplier)
Salt Precipitation (2 suppliers)
Salt Solutions, TBS (9 suppliers)
Sample Analysis Systems (4 suppliers)
Sample Cell Holders (3 suppliers)
Sample Collection/Anticoagulant Tubes (3 suppliers)
Sample Containers (30 suppliers)
Sample Diluent (2 suppliers)
Sample Extraction Tools (2 suppliers)
Sample Injectors (24 suppliers)
Sample Loading Buffer (4 suppliers)
Sample Loops (3 suppliers)
Sample Management (29 suppliers)
Because of practical computational limitations and prior knowledge, data mining isn't simply about searching for every possible relationship in a database. In a large database or data warehouse, there may be hundreds or thousands of valueless relationships. Because there may be millions of records involved and thousands of variables, initial data mining is typically restricted to computationally tenable samples of the holding in an entire data warehouse. The evaluation of the relationships that are revealed in these samples can be used to determine which relationships in the data should be mined further using the complete data warehouse. With large complex databases, even with sampling, the computational resource requirements associated with non-directed data mining may be excessive. In this situation, researchers generally rely on their knowledge of biology to identify potentially valuable relationships, and they limit sampling based on these heuristics. In the transformation and reduction phase of the knowledge discovery process, data sets are reduced to the minimum size possible through sampling or summary statistics. For example, tables of data may be replaced by descriptive statistics, such as mean & standard deviation.
Sample Management Consumables (2 suppliers)
Sample Management Systems (3 suppliers)
Sample Preparation Cartridges (20 suppliers)
Sample Preparation Kit (2 suppliers)
Sample Preparation Solution (6 suppliers)
Sample Preparation Supplies (48 suppliers)
Sample Probe Kit (2 suppliers)
Sample Processing Services (1 supplier)
Sample Purifier Tubes (2 suppliers)
Sample Storage / Retrieval Devices (21 suppliers)
Sample Testing Service (5 suppliers)
Sample Tracking and Inventory Systems (3 suppliers)
Sample Tracking Control Kit (3 suppliers)
Sample Tube Racks (2 suppliers)
Sample Tubes (2 suppliers)
SamplerCollectors (3 suppliers)
Sampling Bottles (1 supplier)
Sampling Cannulae (2 suppliers)
Sampling Cannulas (2 suppliers)
Sampling Probe (2 suppliers)
Sampling Systems, Automatic (28 suppliers)
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