Electronic Supplementary Material: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments

Additional methods (experimental details; measured and fixed parameters; heterogeneous mathematical model; parameter estimation, identifiability analysis and prediction for the heterogeneous mathematical model; parameter estimation for the homogeneous mathematical model). Additional results (Different ABC distance functions and nano-engineered particles; regimes with identifiability challenges; comparison to previous methods: role of control data; optimal experimental time points).)

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29819411.v1
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electronic Supplementary Material: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments

Figshare
Mathematical Biology Tumor Growth
article

Electronic Supplementary Material: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments

article en

Abstract

Additional methods (experimental details; measured and fixed parameters; heterogeneous mathematical model; parameter estimation, identifiability analysis and prediction for the heterogeneous mathematical model; parameter estimation for the homogeneous mathematical model). Additional results (Different ABC distance functions and nano-engineered particles; regimes with identifiability challenges; comparison to previous methods: role of control data; optimal experimental time points).)

Figshare
Openalex Percentile: Top 54%
Mathematical Biology Tumor Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Electronic Supplementary Material: Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments · Figshare (2025) | TGRS Research Map | TGRS