Student Profile: Syamand Hasam
Syamand Hasam is a 2nd-3rd year undergraduate student at the University of Sydney studying a BSc (Advanced) double majoring in Mathematics and Statistics. He also holds a completed Bachelor of Computer Science and Technology from the University of Sydney. Academic interests are still wide ranging across pure and applied mathematics, theoretical computer science, statistics and the application of such in the fields of medicine and biology.
When is Target-Decoy Competition Valid?
In a problem to do with mass spectrometry analysis, we wish to investigate whether recent methods in controlling the FDR (False Discovery Rate) for predicting the best-scoring-peptide match, are justified in their assumptions by looking at these methods in relation to real data, and questioning the assumptions used.