| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A community approach to whole-cell modeling
|
Singla, Jitin
|
|
|
26 |
C |
p. 33-38
|
article
|
| 2 |
Computational methods for characterizing and learning from heterogeneous cell signaling data
|
Kinnunen, Patrick C.
|
|
|
26 |
C |
p. 98-108
|
article
|
| 3 |
Computational modeling of metabolism in microbial communities on a genome-scale
|
Colarusso, Analeigha V.
|
|
|
26 |
C |
p. 46-57
|
article
|
| 4 |
Contents
|
|
|
|
26 |
C |
p. iii
|
article
|
| 5 |
Current progress and potential opportunities to infer single-cell developmental trajectory and cell fate
|
Wang, Lingfei
|
|
|
26 |
C |
p. 1-11
|
article
|
| 6 |
Editorial Board Page
|
|
|
|
26 |
C |
p. i
|
article
|
| 7 |
Forecasting cellular states: from descriptive to predictive biology via single-cell multiomics
|
Stein-O’Brien, Genevieve L.
|
|
|
26 |
C |
p. 24-32
|
article
|
| 8 |
Gene regulatory network inference in single-cell biology
|
Akers, Kyle
|
|
|
26 |
C |
p. 87-97
|
article
|
| 9 |
Kinetic modeling of metabolism: Present and future
|
Islam, Mohammad Mazharul
|
|
|
26 |
C |
p. 72-78
|
article
|
| 10 |
Machine learning for single-cell genomics data analysis
|
Raimundo, Félix
|
|
|
26 |
C |
p. 64-71
|
article
|
| 11 |
Mechanistic models of cell-fate transitions from single-cell data
|
Torregrosa, Gabriel
|
|
|
26 |
C |
p. 79-86
|
article
|
| 12 |
Quantitative modeling of human metabolism: A call for a community effort
|
Masid, Maria
|
|
|
26 |
C |
p. 109-115
|
article
|
| 13 |
Recent advances in genome-scale modeling of proteome allocation
|
Dahal, Sanjeev
|
|
|
26 |
C |
p. 39-45
|
article
|
| 14 |
Statistical and computational challenges for whole cell modelling
|
Stumpf, Michael P.H.
|
|
|
26 |
C |
p. 58-63
|
article
|
| 15 |
The landscape of cell–cell communication through single-cell transcriptomics
|
Almet, Axel A.
|
|
|
26 |
C |
p. 12-23
|
article
|
Journal description