25 citations · 27 across the 2 of their papers we have counts for
3 papers
q-bio.OT2026
Making Models That Matter: How to Build Trustworthy and Useful Systems Biology Models
John M. Hancock, Mihail Anton, Frank T. Bergmann +23
Computational models supporting mechanistic understanding of (complex) biological systems, systems behaviour prediction, and experimental design are becoming more and more embedded…
q-bio.GN2020★ 2 cited
Structural representations of DNA regulatory substrates can enhance sequence-based algorithms by associating functional sequence variants
Jan Zrimec
The nucleotide sequence representation of DNA can be inadequate for resolving protein-DNA binding sites and regulatory substrates, such as those involved in gene expression and hor…
q-bio.BM2020★ 25 cited
Performance of regression models as a function of experiment noise
Gang Li, Jan Zrimec, Boyang Ji +5
A challenge in developing machine learning regression models is that it is difficult to know whether maximal performance has been reached on a particular dataset, or whether furthe…