Supplementary information. The supplementary information consists of three sections 1. Population-based Markov chain Monte Carlo, 2. RNA-seq data, and 3. Supplementary Figures. (PDF 837 kb
CD4 T cell subpopulations were separated with at least 90% purity. Dot plots showing the sequential ...
Figure S1. Quality control of the dataset. Figure S2. Surface marker analysis and GO enrichment anal...
The simulation experiments in data with global transcriptome size changes due to the genome size cha...
Implementation of population-based Markov chain Monte Carlo in Matlab. (ZIP 46 kb
Supplemental methods, extended derivations, and supplementary figures and tables. (PDF 3940 kb
This file includes: (1) supplementary methods describing details in single cell quality control and ...
Table S2. Summary of each dataset (number of expressed mRNAs and miRNAs), experimental conditions (r...
Figure S2. DTWscore identifies heterogeneous genes and non-heterogeneous genes from the synthetic da...
Table S13. List of signaling pathways used in Additional file 1: Figure S7a. (XLSX 20 kb
Contains Notes S1 (derivation of the functional form of the GAL network) and S2 (description of phen...
Figure S6. Model-based clustering of HSMM dataset by any three highly variable genes. (PDF 68 kb
Control dataset sample identification, protocol information, and RNA sequencing stats. Experimental ...
Table S6. List of ligand-receptor pairs and cell–cell pairs used in Fig. 4c for heatmap. (XLSX 12 kb
Contains the data set analyzed in this work. The data was originally published and analyzed by Hughe...
The partition of 72 mutation and 319 expression genes in 3 phases of cancer progression. The values ...
CD4 T cell subpopulations were separated with at least 90% purity. Dot plots showing the sequential ...
Figure S1. Quality control of the dataset. Figure S2. Surface marker analysis and GO enrichment anal...
The simulation experiments in data with global transcriptome size changes due to the genome size cha...
Implementation of population-based Markov chain Monte Carlo in Matlab. (ZIP 46 kb
Supplemental methods, extended derivations, and supplementary figures and tables. (PDF 3940 kb
This file includes: (1) supplementary methods describing details in single cell quality control and ...
Table S2. Summary of each dataset (number of expressed mRNAs and miRNAs), experimental conditions (r...
Figure S2. DTWscore identifies heterogeneous genes and non-heterogeneous genes from the synthetic da...
Table S13. List of signaling pathways used in Additional file 1: Figure S7a. (XLSX 20 kb
Contains Notes S1 (derivation of the functional form of the GAL network) and S2 (description of phen...
Figure S6. Model-based clustering of HSMM dataset by any three highly variable genes. (PDF 68 kb
Control dataset sample identification, protocol information, and RNA sequencing stats. Experimental ...
Table S6. List of ligand-receptor pairs and cell–cell pairs used in Fig. 4c for heatmap. (XLSX 12 kb
Contains the data set analyzed in this work. The data was originally published and analyzed by Hughe...
The partition of 72 mutation and 319 expression genes in 3 phases of cancer progression. The values ...
CD4 T cell subpopulations were separated with at least 90% purity. Dot plots showing the sequential ...
Figure S1. Quality control of the dataset. Figure S2. Surface marker analysis and GO enrichment anal...
The simulation experiments in data with global transcriptome size changes due to the genome size cha...