Additional file 5: of Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

  • Noah Berlow (Creator)
  • Rishi Rikhi (Contributor)
  • Mathew Geltzeiler (Creator)
  • Jinu Abraham (Contributor)
  • Matthew N. Svalina (Creator)
  • Lara E. Davis (Creator)
  • Erin Wise (Creator)
  • Maria Mancini (Creator)
  • Jonathan Noujaim (Creator)
  • Atiya Mansoor (Contributor)
  • Michael J. Quist (Creator)
  • Kevin L. Matlock (Creator)
  • Martin W. Goros (Creator)
  • Brian S. Hernandez (Creator)
  • Yee C. Doung (Creator)
  • Khin Thway (Contributor)
  • Tomohide Tsukahara (Contributor)
  • Jun Nishio (Creator)
  • Elaine C. Huang Huang (Creator)
  • Susan Airhart (Creator)
  • Carol J. Bult (Creator)
  • Regina Gandour-Edwards (Creator)
  • Robert G. Maki (Creator)
  • Robin L. Jones (Creator)
  • Joel E Michalek (Creator)
  • Milan Milovancev (Creator)
  • Souparno Ghosh (Contributor)
  • Ranadip Pal (Contributor)
  • Charles Keller (Creator)
  • Elaine T. Huang (Creator)
  • Robin L. Jones (Creator)

Dataset

Description

Figure S5. PTIM models developed using secondary datasets. (A) Chemical screen + siRNA informed PTIM. Values in the center of PTIM blocks represent expected scaled sensitivity following inhibition of associated block targets. (B) Chemical screen + phosphoproteomics informed PTIM. The values within the target blocks indicate scaled drug sensitivity [16] when block targets are inhibited. (TIF 22272 kb)
Date made available2019
PublisherFigshare

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