Authors:
Kenta Kawasaki1,2, Sohrab Salehi3, Yingqian A. Zhan4, Kevin Chen5, Jun Ho Lee1, Eralda Salataj4, Hong Zhong2, Parvathy Manoj2, Dennis Kinyua2, Barbara P. Mello2, Harsha Sridhar2, Sam E. Tischfield6, Irina Linkov7, Nicholas Ceglia3, Matthew Zatzman3, Eli Havasov3, Neil Shah2, Fanli Meng6, Brian Loomis6, Umesh K. Bhanot7, Esther Redin2, Elisa de Stanchina5, Pierre-Jacques Hamard4, Richard P. Koche4, Andrew McPherson3, Álvaro Quintanal-Villalonga2, Sohrab P. Shah3, Joan Massagué1,8,* Charles M. Rudin2,8,*
*Corresponding authors
1 Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
2 Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
3 Computational Oncology Program, Memorial Sloan Kettering Cancer Center, New York NY, USA
4 Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
5 Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York NY, USA
6 Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, NY, USA
7 Pathology Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
8 Weill Cornell Medicine Graduate School of Medical Sciences, New York, NY, USA
The repository is organized as follows.
src/Notebooks
contains the notebooks to reproduce figures in the study.
The directory contains the following files.
- common_utils.py
- preprocessing.ipynb
- FOXA2_compartments.ipynb
- integration_harmony.ipynb
- integration_scvi.ipynb
- co_expression.ipynb
- fetal_scores.ipynb
- FOXA2_expression.ipynb
- tmb_comparison.ipynb
Here we describe each file.
common_utils.py
: Utility functions that are shared across the notebooks.
preprocessing.ipynb
Functions for dublet detection.
FOXA2_compartments.ipynb
: Generates figures related to tissue compartment expressing FOXA2.
integration_harmony.ipynb
: Generates figures related to batch correction using harmony.
integration_scvi.ipynb
: Generates figures related to batch correction using scVI.
co_expression.ipynb
: Generates figures related to co-expression of FOXA2 and select TFs.
fetal_scores.ipynb
: Generates figures related to fetal scores in FOXA2+ and FOXA2- cells.
FOXA2_expression.ipynb
: Generates figures related to genes correlated with FOXA2's expression.
tmb_comparison.ipynb
: Generates figures related to the study of the tumor mutation burden.