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Title: jhylin (Jennifer HY Lin) · GitHub

Open Graph Title: jhylin - Overview

X Title: jhylin - Overview

Description: Data scientist and enthusiast in using Python for drug discovery and development data - jhylin

Open Graph Description: Data scientist and enthusiast in using Python for drug discovery and development data - jhylin

X Description: Data scientist and enthusiast in using Python for drug discovery and development data - jhylin

Opengraph URL: https://github.com/jhylin

X: @github

direct link

Domain: patch-diff.githubusercontent.com

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17 followers https://github.com/jhylin?tab=followers
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https://jhylin.github.io/Data_in_life_blog/https://jhylin.github.io/Data_in_life_blog/
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jhylinhttps://patch-diff.githubusercontent.com/jhylin/jhylin
herehttps://jhylin.github.io/Data_in_life_blog/about.html
bloghttps://jhylin.github.io/Data_in_life_blog/
decision tree 1https://jhylin.github.io/Data_in_life_blog/posts/16_ML2-1_Decision_tree/1_data_col_prep.html
decision tree 2https://jhylin.github.io/Data_in_life_blog/posts/16_ML2-1_Decision_tree/2_data_prep_tran.html
decision tree 3https://jhylin.github.io/Data_in_life_blog/posts/16_ML2-1_Decision_tree/3_model_build.html
random foresthttps://jhylin.github.io/Data_in_life_blog/posts/17_ML2-2_Random_forest/1_random_forest.html
random forest classifierhttps://jhylin.github.io/Data_in_life_blog/posts/17_ML2-2_Random_forest/2_random_forest_classifier.html
boosted treeshttps://jhylin.github.io/Data_in_life_blog/posts/19_ML2-3_Boosted_trees/1_adaboost_xgb.html
Scikit-molhttps://github.com/EBjerrum/scikit-mol
Working with scaffolds in small moleculeshttps://jhylin.github.io/Data_in_life_blog/posts/14_Scaffolds_in_small_molecules/chembl_anti-inf_data_prep_current.html
Molecular visualisation (Molviz) web applicationhttps://jhylin.github.io/Data_in_life_blog/posts/15_Molviz/Molviz.html
interactive data table parthttps://jhylin.github.io/Data_in_life_blog/posts/15_Molviz/itables.html
Shinylive app in Pythonhttps://jhylin.github.io/Data_in_life_blog/posts/13_Shiny_app_python/ShinyAppPy_PC_Cov19_app_embed_pyodide_http.html
Small molecules in ChEMBL database 1 - Parquet file in Polars dataframe libraryhttps://jhylin.github.io/Data_in_life_blog/posts/21_ML1-1_Small_mols_in_chembl_update/ML1-1-1_chembl_cpds_parquet_new.html
2 - Preprocessing data in Polars dataframe libraryhttps://jhylin.github.io/Data_in_life_blog/posts/21_ML1-1_Small_mols_in_chembl_update/ML1-1-2_chembl_cpds_prep.html
3 - Building logistic regression model using scikit-learnhttps://jhylin.github.io/Data_in_life_blog/posts/21_ML1-1_Small_mols_in_chembl_update/ML1-1-3_chembl_cpds_ml_model.html
4 - Evaluating logistic regression model in scikit-learnhttps://jhylin.github.io/Data_in_life_blog/posts/21_ML1-1_Small_mols_in_chembl_update/ML1-1-4_chembl_cpds_evaluate.html
Using Molstar in Quartohttps://jhylin.github.io/Data_in_life_blog/posts/18_Notes_molstar_quarto/Molstar_quarto.html
Using R in Python - rpy2https://jhylin.github.io/Data_in_life_blog/posts/22_Back_to_basics/1_Using_r_in_python_rpy2.html
Using Python in R - reticulatehttps://jhylin.github.io/Data_in_life_blog/posts/22_Back_to_basics/2_Using_python_in_r_reticulate.html
practical_cheminformatics_tutorialshttps://github.com/PatWalters/practical_cheminformatics_tutorials/issues/12
chembl_downloaderhttps://github.com/cthoyt/chembl-downloader/pull/13
Data_in_life_bloghttps://patch-diff.githubusercontent.com/jhylin/Data_in_life_blog
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