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[Illinois] Introduction to Bioinformatics Lecture 13 - Statistical Testing I

By Saurabh Sinha

Department of Computer Science , University of Illinois at Urbana-Champaign, Urbana, IL

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Abstract

Algorithmic approaches in bioinformatics: (i) biological problems that can be solved computationally (e.g., discovering genes, and interactions among different genes and proteins); (ii) algorithmic techniques with wide applicability in solving these problems (e.g., dynamic programming and probabilistic methods); (iii) practical issues in translating the basic algorithmic ideas into accurate and efficient tools that biologists may use.

Submitter

NanoBio Node, Adeeb Yunus

University of Illinois at Urbana-Champaign

Bio

Saurabh Sinha is currently an Associate Professor for the Department of Computer Science at University of Illinois at Urbana-Champaign. He received his Ph.D. from the University of Washington, Seattle in 2002

Publications

Saurabh Sinha

Cite this work

Researchers should cite this work as follows:

  • Saurabh Sinha; NanoBio Node; Adeeb Yunus (2013), "[Illinois] Introduction to Bioinformatics Lecture 13 - Statistical Testing I," https://nanohub.org/resources/16199.

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