Baharak Ahmaderaghi

A comparison of Fuzzy Functions with LSE and TS-fuzzy methods in modeling uncertain datasets

M. Bodur, Baharak Ahmaderaghi, 2009, 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control.

MmCMS: mouse models’ consensus molecular subtypes of colorectal cancer

R. Sanz-Pamplona, P. Dunne, M. Lawler, 2022, bioRxiv.

classifieR a flexible interactive cloud-application for functional annotation of cancer transcriptomes

Gerard P. Quinn, D. Longley, B. Seligmann, 2022, BMC Bioinform..

Biological Misinterpretation of Transcriptional Signatures in Tumor Samples Can Unknowingly Undermine Mechanistic Understanding and Faithful Alignment with Preclinical Data

P. Dunne, N. Jamieson, M. Lawler, 2022, bioRxiv.

Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory

Ahmed Bouridane, Fatih Kurugollu, Baharak Ahmaderaghi, 2018, IEEE Transactions on Computational Imaging.

Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data

Gerard P. Quinn, P. Dunne, O. Sansom, 2022, Disease models & mechanisms.

The Molecular Subtyping Resource (MouSR): a user-friendly tool for rapid biological discovery from human or mouse transcriptional data

P. Dunne, O. Sansom, M. Lawler, 2021, bioRxiv.

Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer

P. Dunne, C. Isella, L. Trusolino, 2024, Nature genetics.