+Realistically, some features will remain unmatched, forming singletons or doublets (consensus features of size 1 or 2). These undersized consensus features can arise due to several factors. In some cases, the signal may be genuinely absent in the dataset, preventing feature detection. Alternatively, the feature-finding algorithm might fail to identify the feature in all available maps, leading to incomplete linkage. Additionally, suboptimal parameters for feature linking, such as excessive retention time (RT) variations across samples, can contribute to mismatches, further reducing the likelihood of forming larger consensus features. The latter can be corrected for using a process called map alignment, which we adressed in a `previous chapter <map_alignment.html>`_.
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