On Transformative Adaptive Activation Functions in Neural Networks for Gene Expression Inference
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00346215" target="_blank" >RIV/68407700:21230/21:00346215 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1371/journal.pone.0243915" target="_blank" >https://doi.org/10.1371/journal.pone.0243915</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0243915" target="_blank" >10.1371/journal.pone.0243915</a>
Alternative languages
Result language
angličtina
Original language name
On Transformative Adaptive Activation Functions in Neural Networks for Gene Expression Inference
Original language description
Gene expression profiling was made more cost-effective by the NIH LINCS program that profiles only ~1, 000 selected landmark genes and uses them to reconstruct the whole profile. The D–GEX method employs neural networks to infer the entire profile. However, the original D–GEX can be significantly improved. We propose a novel transformative adaptive activation function that improves the gene expression inference even further and which generalizes several existing adaptive activation functions. Our improved neural network achieves an average mean absolute error of 0.1340, which is a significant improvement over our reimplementation of the original D–GEX, which achieves an average mean absolute error of 0.1637. The proposed transformative adaptive function enables a significantly more accurate reconstruction of the full gene expression profiles with only a small increase in the complexity of the model and its training procedure compared to other methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS ONE
ISSN
1932-6203
e-ISSN
1932-6203
Volume of the periodical
16
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
27
Pages from-to
1-27
UT code for WoS article
000609988100038
EID of the result in the Scopus database
2-s2.0-85099882182