Categories medchem edX Medicinal Chemistry - Chapter Six on Blood and Drug Transport edX Medicinal Chemistry - Chapter Five on Receptors edX Medicinal Chemistry - Chapter Four on enzymes edX Medicinal Chemistry - Chapter Three on protein structures edX Medicinal Chemistry - Chapter Two on the drug discovery process edX Medicinal Chemistry - chapter one machine-learning Deep learning with graph networks Machine Learning with CatBoost Keras, a python deep learning library Course on Natural Language Processing with Deep Learning - Stanford CS224n A crash course to start state-of-the-art NLP in 2018 Ridge regression, LASSO, and elastic net explained bioinformatics Analysing single-cell T-cell receptor sequencing data with Scirpy Nucleosome positioning and its prediction Covariates and control variables explained Filter BAM/SAM files by insert size Pharmacogenomics of GPCR Drug Targets programming Continuous documentation, testing, and integration for R packages Submitting Snakemake jobs to Slurm Learning Logstash - Part I Axis in Python and MARGIN in R explained Linking native routines between R packages - a demo Building R and/or R packages for Windows Disable non-portable compiler flags with ~/.R/Makevars Install R in Linux MINT 18 Develop R packages with Rcpp and RStudio Notes on using sqlite3 career RISE studentship to analyse vascular network images Staying mentally healthy during the coronavirus pandemic Talk at *Insight China* Zürich Life Science Day 2018: presentation and impressions DrugDiscovery A SPARK for therapeutic pathway hunting Multispecific drugs reviewed An application of machine learning for DNA-encoded library screening Spotting problems that both matter and are computationally solvable RNA-guided endonuclease editing: history and testing in the clinic Probing protein communities with mass spectrometry Welcome, Aviv Regev! Bioinformatics approaches to understanding the MoA of a compound Molecular Phenotyping in Drug Discovery DiscoveryWeekly Discoveries Weekly No. 16 (July 28-August 2, 2020): Zettelkasten Discoveries Weekly No. 15 (July 20-July 26, 2020) Discoveries Weekly No. 14 (July 13-July 19, 2020) Discoveries Weekly No. 13 (July 6-July 12, 2020) Discoveries Weekly No. 12 (June 29-July 5, 2020) Discoveries Weekly No. 11 (June 22-28, 2020) Discoveries Weekly No. 10 (June 15-21, 2020) Discoveries Weekly No. 9 (June 8-14, 2020) Discoveries Weekly No. 8 (June 1-7, 2020) Discoveries Weekly No. 7 (May 25-31, 2020) Discoveries Weekly No. 6 (May 18-24, 2020) Discoveries Weekly No. 5 (May 11-17, 2020) Discoveries Weekly No. 4 (May 4-8, 2020) Discoveries Weekly No. 3 (April 25-May 1, 2020) Discoveries Weekly No. 2 (April 20-27, 2020) Discoveries Weekly No. 1 (April 13-20, 2020) Notes About time Configuring the home wireless network Mathematics Learning from mathematical models of infectious-disease dynamics Book Nonviolent communication Biology Meta-analysis of single-cell RNA-sequencing studies for SARS-CoV-2 A fresh look at tumour and immune-system dynamics in lung cancer LOX mediates doxorubicin resistance in triple-negative breast cancer models Music Chord sequence 1-6-2-5-1 Statistics Three classical approaches to hypothesis testing Degree of freedom in statistical testing Genomics Intrisincally disodered regions in transcription factors MultiScaleModelling Mathematical modelling and single-cell RNA sequencing for cancer immunotherapy notes Thoughts inspired by a recital of Igor Levit AMIDD Applied Mathematics and Informatics In Drug Discovery (2020) Career Two internship positions in my team Neurobiology Ph.D. Program in Shenzhen