This is the 3rd part of the 3 part series. Read part 1 and part 2 here. Part 3: Why industrializing interpretation is now more […] Read More
Category: Data Science
This is the gem of Elucidata. All posts related to our data science team and their knowledge resides here. We also feature data science case studies and whitepapers here.
This is the 2nd part of the 3 part series. Read part 1 here. Part 2: Data interpretation requires context and awareness about available algorithms […] Read More
This is the 1st part in a 3 part series. Part 1: The bottleneck is not data generation In 1951 Frederick Sanger first found out […] Read More
Data scientists are aware of the iterative nature of their fields. Writing code, extensive experimentation with data, and applying different techniques to the same data […] Read More
by Soumya Luthra, Swetabh Pathak & Shashank Jatav Elucidata’s mission is to accelerate drug discovery by using a data-driven approach. In line with this, over […] Read More
by Abhilasha Sinha & Abhishek Jha Over the last decade, the role of bioinformatics in drug discovery has been undergoing a major transformation. Bioinformatics expertise […] Read More
Probably p-value and hypothesis testing are some of the concepts that everyone has some difficulty understanding at first, considering how schools and statistics classes usually […] Read More
With the advances in next-generation sequencing technologies over the past decade, genomics has gradually caught up to the big data giants – YouTube, Amazon, and […] Read More
Introduction: In 1990, an ambitious project was launched in the USA to sequence the human DNA and identify, both functionally and structurally, genes that makeup […] Read More
One of the key issues that data scientists face is keeping track of the results, and sharing the progress of the project among their colleagues. […] Read More