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          <dc:title>Supplementary Figure S1 - S8 from A Foundation Model of Cancer Genotype Enables Precise Predictions of Therapeutic Response</dc:title>
          <dc:creator>JungHo Kong (18084386)</dc:creator>
          <dc:creator>Ingoo Lee (25154175)</dc:creator>
          <dc:creator>Dean Boecher (25154178)</dc:creator>
          <dc:creator>Akshat Singhal (18084380)</dc:creator>
          <dc:creator>Marcus R. Kelly (25154181)</dc:creator>
          <dc:creator>Jimin Moon (25154184)</dc:creator>
          <dc:creator>Chang Ho Ahn (19848795)</dc:creator>
          <dc:creator>Chan-Young Ock (14959415)</dc:creator>
          <dc:creator>Dexter Pratt (25154187)</dc:creator>
          <dc:creator>Tannavee Kumar (25154190)</dc:creator>
          <dc:creator>Timothy J. Sears (16014164)</dc:creator>
          <dc:creator>David Laub (25154193)</dc:creator>
          <dc:creator>Sarah Wright (25154196)</dc:creator>
          <dc:creator>Patrick Wall (25154199)</dc:creator>
          <dc:creator>Hannah Carter (14945421)</dc:creator>
          <dc:creator>Zhen Wang (25154202)</dc:creator>
          <dc:creator>Trey Ideker (17098955)</dc:creator>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Methods and Technology</dc:subject>
          <dc:subject>Computational Methods</dc:subject>
          <dc:description>&lt;p&gt;Figure S1 shows mutational heterogeneity of the pre-training dataset. Figure S2 shows detailed model architecture. Figure S3 shows inferring the status of tumor infiltrating lymphocytes. Figure S4 shows the analysis of latent representations. Figure S5 shows the prediction of drug response using clinical biomarkers. Figure S6 shows the prediction of metastasis-related tasks. Figure S7 shows the method for computing feature importance. Figure S8 shows the analysis of high model attention.&lt;/p&gt;</dc:description>
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