831 Exact Shapley values for explaining complex machine learning based molecular tests of checkpoint inhibitors: potential utility for patients, physicians, and translational research

• Joanna Roder,
• Heinrich Roder,
• Minu Srivastava,
• Wei Zou,
• Mark McCleland,
• David Shames,
• Laura Maguire,
• Lelia Net,
• Thomas Campbell,
• Robert Georgantas

Affiliations

Joanna Roder

Aff333 Biodesix, Inc. Boulder CO USA

Heinrich Roder

Aff333 Biodesix, Inc. Boulder CO USA

Minu Srivastava

Aff1 grid.467496.e0000000404899295Oncomed Pharmaceuticals Redwood City CA USA

Wei Zou

Department of Biostatistics Oncology, Genentech Inc, South San Francisco, California, USA

Mark McCleland

Department of Oncology Biomarker Development, Genentech Inc, South San Francisco, California, USA

David Shames

Genentech Inc, South San Francisco, California, USA

Laura Maguire

1Biodesix, Inc., Boulder, CO, USA

Lelia Net

1Biodesix, Inc., Boulder, CO, USA

Thomas Campbell

1Biodesix, Inc., Boulder, CO, USA

Robert Georgantas

1Biodesix, Inc., Boulder, CO, USA