Pinned Repositories
BITFAM_zf
BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.
code_Drosophila_enhancers_ML
Application of classical machine learning methods such as Random Forest classification and regression. Also, Boruta algorithm was used for feature selection via statistical tests (for all relevant variables).
code_webservice_expression_database
sample_codes
sample_python_tasks
sample_R_tasks
ShambaMondal's Repositories
ShambaMondal/BITFAM_zf
BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.
ShambaMondal/code_Drosophila_enhancers_ML
Application of classical machine learning methods such as Random Forest classification and regression. Also, Boruta algorithm was used for feature selection via statistical tests (for all relevant variables).
ShambaMondal/code_webservice_expression_database
ShambaMondal/sample_codes
ShambaMondal/sample_python_tasks
ShambaMondal/sample_R_tasks