기초과학연구원 의생명수학그룹
We will discuss about "Neural network aided approximation and parameter inference of stochastic models of gene expression", Jian et al., bioRxiv (2020). Non-Markov models of stochastic biochemical kinetics often incorporate …
We will discuss about "Ligand-receptor promiscuity enables cellular addressing", Su et al., bioRxiv (2021) In multicellular organisms, secreted ligands selectively activate, or “address,” specific target cell populations to control cell …
In this talk, the speaker introduces what Git and GitHub are and explains how to use them.
We will discuss about "Synthetic gene networks recapitulate dynamic signal decoding and differential gene expression", Benzinger et al., bioRxiv (2021) Cells live in constantly changing environments and employ dynamic signaling …
We will discuss about "On the quasi-steady-state approximation in an open Michaelis-Menten reaction mechanism", bioRxiv (2021). The conditions for the validity of the standard quasi-steady-state approximation in the Michaelis--Menten mechanism …
We will discuss about "Frequency Spectra and the Color of Cellular Noise", bioRxiv (2020). The invention of the Fourier integral in the 19th century laid the foundation for modern spectral …
The speaker presents how to use Rcpp (Seamless R and C++ Integration) and RcppArmadillo packages ('Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library) for statistical programming.
We will discuss about "Pairing of segmentation clock genes drives robust pattern formation", Zinani et al., Nature (2021) Gene expression is an inherently stochastic process; however, organismal development and homeostasis …
We will discuss about "Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks", Dixit et al., Cell Systems (2020) Predictive models of signaling networks …