Thoma Itoh
YOU?
Author Swipe
View article: Inverse signal importance in real exposome: How do biological systems dynamically prioritize multiple environmental signals?
Inverse signal importance in real exposome: How do biological systems dynamically prioritize multiple environmental signals? Open
Living organisms integrate multiple signals from their exposome—the totality of environmental influences experienced throughout life—to adapt to complex, non-stationary environments. While organisms are thought to flexibly prioritize relev…
View article: Revisiting the evolution of bow-tie architecture in signaling networks
Revisiting the evolution of bow-tie architecture in signaling networks Open
View article: A transcriptional program underlying the circannual rhythms of gonadal development in medaka
A transcriptional program underlying the circannual rhythms of gonadal development in medaka Open
To cope with seasonal environmental changes, organisms have evolved approximately 1-y endogenous circannual clocks. These circannual clocks regulate various physiological properties and behaviors such as reproduction, hibernation, migratio…
View article: Emergence of Bow-tie Architecture in Evolving Feedforward Networks
Emergence of Bow-tie Architecture in Evolving Feedforward Networks Open
Bow-tie architecture is a layered network structure that has a narrow middle layer with multiple inputs and outputs. Such structures are widely seen in the molecular networks in cells, suggesting that a universal evolutionary mechanism und…
View article: Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast Open
Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbations produce downstream effects. H…
View article: Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast Open
Abstract Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbat…
View article: Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast Open
Abstract Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbat…
View article: Capturing Hidden Regulation based on Noise Change of Gene Expression Level from Single Cell RNA-seq in Yeast
Capturing Hidden Regulation based on Noise Change of Gene Expression Level from Single Cell RNA-seq in Yeast Open
Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbations produce downstream effects. H…
View article: Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast Open
Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbations produce downstream effects. H…
View article: Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast Open
CreateBASiCS.R Create BASiCS chain objects, which include mean and noise data, from the raw count matrix. This step takes 10~20 hours. Main.R Generate figures in the main results. FunctionSetting.…