Multiple Competition-Based FDR Control and Its Application to Peptide Detection

DOI10.1007/978-3-030-45257-5_4zbMath1498.92138arXiv1907.01458OpenAlexW3020789085MaRDI QIDQ5041797

Syamand Hasam, Uri Keich, Kristen Emery, William Stafford Noble

Publication date: 14 October 2022

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.01458

zbMATH Keywords

multiple hypothesis testingfalse discovery ratetandem mass spectrometrypeptide detection

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20)

Related Items (2)

Null-free false discovery rate control using decoy permutations ⋮ CONTROLLING THE FALSE DISCOVERY RATE THROUGH MULTIPLE COMPETITION

Uses Software

• qvalue
• GitHub
• DeepPINK

Cites Work

• Unnamed Item
• Controlling the false discovery rate via knockoffs
• Significance analysis of microarrays applied to the ionizing radiation response
• Controlling the FDR in Imperfect Matches to an Incomplete Database
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• IPAD: Stable Interpretable Forecasting with Knockoffs Inference
• Statistical significance for genomewide studies

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