/ Home
/ SUBMISSION

/ The BJNANO
/ Diamond Open Access
/ Journal Statistics
/ Editorial Board
/ Community
/ Call for papers

/ Latest Articles
/ Most accessed
/ Thematic issues
/ Volumes
/ Authors

/ Alerts

/ TWITTER
/ LINKEDIN
/ Mastodon
/ RSS FEED

Empty search

Article Type

Publication Date Range

Search Tips

This search combines search strings from the content search (i.e. "Full Text", "Author", "Title", "Abstract", or "Keywords") with "Article Type" and "Publication Date Range" using the AND operator.

Search Examples

aromatic	the word “aromatic”
aromatic aldehyde	the word “aromatic” OR “aldehyde”
+aromatic +aldehyde	both words “aromatic” AND “aldehyde”
+aromatic -aldehyde	the word “aromatic” but NOT “aldehyde”
“aromatic aldehyde”	the exact phrase “aromatic aldehyde”
benz*	words which begin with “benz”, such as “benzene” or “benzyl”
benz*yl	words that begin with “benz” and end with “yl”, such as “benzyl” or “benzoyl”
benzyl~	words that are close to the word “benzyl”, such as “benzoyl” (i.e., fuzzy search)

BROWSE
Latest Articles
Most accessed
thematic issues
volumes
authors

BROWSE

Latest Articles Most Accessed Thematic Issues Volumes Authors

Author

1 article(s) from Harper, Stacey Lynn

Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning

Richard Liam Marchese Robinson,
Haralambos Sarimveis,
Philip Doganis,
Xiaodong Jia,
Marianna Kotzabasaki,
Christiana Gousiadou,
Stacey Lynn Harper and
Terry Wilkins

Beilstein J. Nanotechnol. 2021, 12, 1297–1325, doi:10.3762/bjnano.12.97

PDF

Figure 1: The laboratory method used to obtain the raw counts data for the lethal and sub-lethal endpoints ev...

Jump to Figure 1

Figure 2: The transformation of the raw biological counts data, illustrated here for excess lethality at 120 ...

Jump to Figure 2

Figure 3: A summary of all modelling work carried out using the model development dataset reported herein. A ...

Jump to Figure 3

Figure 4: Data augmentation using the “noised training set replication” paradigm. Top: a subset of the availa...

Jump to Figure 4

Figure 5: Data augmentation using the “weighted alternative samples” paradigm, where the alternative samples ...

Jump to Figure 5

Figure 6: Data augmentation using the “weighted alternative samples” paradigm, where the alternative samples ...

Jump to Figure 6

Figure 7: Nested cross-validated balanced accuracy (BA) obtained with multiple descriptor Random Forest model...

Jump to Figure 7

Figure 8: Nested cross-validated balanced accuracy (BA) obtained with multiple descriptor Random Forest model...

Jump to Figure 8

Figure 9: The change in cross-validated balanced accuracy (BA), with results shown for individual folds, obta...

Jump to Figure 9

Figure 10: Variable importance estimates for the five most important variables (highest mean importance values...

Jump to Figure 10

Figure 11: Distributions of conditional variable importance estimates for the five most important variables (h...

Jump to Figure 11

Album

Supp Info

Full Research Paper

Published 29 Nov 2021

Full text

Other Beilstein-Institut Open Science Activities

/ Help / Support & Contact / Alerts / Privacy Policy / Terms & Conditions / Impressum