We’re often asked how we avoid overfitting when developing predictive machine learning models for clinical research. This technical note explains how.
Technical Note: Navigating overfitting during machine learning model development
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App Note
Application Note: SOPHiA DDM™ Community Clonality Solution CLL
Streamlined workflow for Chronic Lymphocytic Leukemia study
Application Note: Mitochondrial genome analysis with SOPHiA DDM™️ Whole-exome Sequencing
Learn how we addressed the unique challenges associated with genotyping mitochondrial DNA (mtDNA) to develop robust pipelines for mitochondrial genome analysis.
Alamut™️ Visual Plus Technical Note: Guideline-driven nomenclature for variant analysis
Read our descriptive guide to the HGVS nomenclature standard, genome reference assemblies, and MANE transcripts and how they are applied in Alamut™️ Visual Plus in this Technical Note.
Application Note: The SOPHiA DDM™️ Platform for Neurological Disorders
Check out our step-by-step guide to using SOPHiA DDM™️ complemented by Alamut™️ Visual Plus to streamline the interpretation of clinical exome data for neurological disorders.