Gold Standard Datasets

Gold Standard Datasets are proven to be highly accepted, accurate and reliable references with advanced data. Gold Standard Datasets can be successfully used by pharmaceutical and biotech companies to benchmark and measure qualities in other datasets. Creation of Gold Standard Datasets harnesses advanced technologies, AI, data mining and ML. The process includes identifying important data from various sources, finding fields that are common across these different sources and finally joining those fields.

Molecular Connections’ Gold Standard Datasets equip their users to make improved business decisions and help solve complex business challenges. Our team of experts leverages ace technologies to plan and customize datasets based upon business requirements by formulating detailed and meaningful datasets.

Key Benefits of Gold Standard Datasets:

Leads to increased efficiency and reliability;

Are considered accurate and consistent when it comes to data entries;

Enhanced speed;

Lead to data driven decision-making.

Explore More Services

Database Content Development

Database Content Development

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Literature Curation Services

Literature Curation Services

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Ontology Development

Ontology Development

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Ontology Mapping

Ontology Mapping

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Entity Extraction/Data Labelling

Entity Extraction/Data Labelling

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Data Lake Consulting

Data Lake Consulting

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NetPro™

NetPro™ is a comprehensive bio-molecular interaction database, which comprises of protein-protein interactions and protein-small molecule interactions.

GeneNet™

Molecular Connections’ Gene-disease Networking (MC-GeneNetTM) platform employs a range of in silico methodologies using internally developed text mining engine

CliPro™

CliPro™ is a comprehensive, easy to access knowledgebase of proteins in various biological sources that reflects alterations between normal versus diseased conditions.

XTractor™

XTractor™ is a platform for discovery & analysis of published biomedical facts. The only knowledgebase which provides “manually” annotated facts from PubMed.ns.

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