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Gene counts and prediction performance statistics for all t..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_statistics_for_all_tested_gene_ontology_annotations_/19021349. , 2022
Link:
https://doi.org/10.1371/journal.pone.0262717.s002
RT Journal T1
Gene counts and prediction performance statistics for all tested gene ontology annotations
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19021349&Exemplar=1&LAN=DE A1 Pegah Abed-Esfahani (11993627) A1 Benjamin C. Darwin (11993630) A1 Derek Howard (10008431) A1 Nick Wang (3527372) A1 Ethan Kim (11993633) A1 Jason Lerch (5085938) A1 Leon French (233524) YR 2022 K1 Genetics K1 Molecular Biology K1 Neuroscience K1 Mental Health K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 understanding brain organization K1 manual qualitative scoring K1 machine learning task K1 machine learning approach K1 human cerebral cortex K1 contrastive learning task K1 determine expression intensity K1 div >< p K1 000 genes obtained K1 dataset assayed expression K1 second dataset K1 gene expression K1 test generalization K1 spatial transcriptomics K1 spatial profiles K1 source code K1 sodium voltage K1 situ </ K1 scn4b </ K1 random chance K1 publicly released K1 postmortem samples K1 molecular level K1 levels similar K1 ish dataset K1 informatics pipelines K1 individuals diagnosed K1 high resolution K1 demographic information K1 compute representations K1 complex patterns K1 cellular resolution K1 better capture K1 78 genes K1 53 individuals K1 42 individuals K1 3 % K1 13x improvement JF https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_statistics_for_all_tested_gene_ontology_annotations_/19021349 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262717.s002 DO https://doi.org/10.1371/journal.pone.0262717.s002 SF ELIB - SuUB Bremen
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