I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Gene counts and prediction performance statistics for all Z..:
Pegah Abed-Esfahani (11993627)
;
Benjamin C. Darwin (11993630)
;
Derek Howard (10008431)
...
https://figshare.com/articles/dataset/Gene_counts_and_prediction_performance_statistics_for_all_Zeng_et_al_annotations_/19021346. , 2022
Link:
https://doi.org/10.1371/journal.pone.0262717.s001
RT Journal T1
Gene counts and prediction performance statistics for all Zeng et al. annotations
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19021346&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_Zeng_et_al_annotations_/19021346 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262717.s001 DO https://doi.org/10.1371/journal.pone.0262717.s001 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)