Gunther Glehr

[James Hutchinson @James_Hutc]

Restriction also helps with intraclass heterogeneity. An unanticipated consequence of restriction is that disease biomarkers with a bimodal distribution in the positive class, such as might arise from multiple aetiologies, are findable.
#biomarkers #predictive_models #ROC_curve

[James Hutchinson @James_Hutc]

Applying restriction as a pre-processing step typically improves the performance of multivariate models.

[James Hutchinson @James_Hutc]

Restriction is a procedure that splits datasets into classifiable and unclassifiable samples to define a biomarker’s informative and uninformative ranges.

[James Hutchinson @James_Hutc]

Our new paper in Nat Comms tackles the special challenge of unequal variability between classes for immune biomarker discovery and interpretation. We introduce Dataset Restriction as a solution that can be extended to any classification task.

https://t.co/RSfD5PlM3r

[James Hutchinson @James_Hutc]

Health implies homeostasis, whereas disease means dysregulation. It shouldn’t surprise us that disease markers are often more variably expressed in patients than controls @ExtraHorizon_ @INsTRuCT_h2020 @GGlehr @die_paloma
#melanoma #irAE

[Gunther Glehr @GGlehr]

This is a huge step forward, and I couldn't be more excited to share it with you all!🚀

[Gunther Glehr @GGlehr]

We successfully applied restriction to flow cytometric, mass cytometric, transcriptomic, microbiomic and proteomic data in advanced melanoma, so you might really want to try this out in your own data!

[Gunther Glehr @GGlehr]

Restriction overcomes this problem by separating classifiable and unclassifiable samples, generally leading to better predictive models. Our research unveils new biomarkers and significantly improves predictions for immunotherapy-related risks.

[Gunther Glehr @GGlehr]

I'm thrilled to announce that our work on dataset restriction has just been published today! 🎉 https://t.co/S1CSokm9xQ
This innovative method identifies patient heterogeneity as a major roadblock for biomarker identification and interpretation.
#bio #Bioinformatics #DataScience

[Gunther Glehr @GGlehr]

Our article about dataset restriction is finally accessible as #preprint on @researchsquare :
https://t.co/4cp3xVNLYz 🥳🥳

[Gunther Glehr @GGlehr]

Proud to be part of cutting-edge research about how LCN-2 facilitates neuroinflammation and promotes brain metastasis.
https://t.co/weK9hCbjfa

[Frontiers - Immunology @FrontImmunol]

New Research: External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition: Immune checkpoint inhibitors have revolutionized treatment of advanced melanoma, but commonly cause serious immune-mediated… https://t.co/8CApNj9dGy #immunology

[Paloma Riquelme @die_paloma]

Independent reproducibility studies are the scientifically rigorous way to validate and compare the discriminatory value of biomarkers https://t.co/NrAL5UJ4gW