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
An illustrative example under the unbalanced initial propor..:
Chenyu Wu
;
Einar Bjarki Gunnarsson
;
Even Moa Myklebust
...
doi:10.1371/journal.pcbi.1011888.g014. , 2024
Link:
https://doi.org/10.1371/journal.pcbi.1011888.g014
RT Journal T1
An illustrative example under the unbalanced initial proportion scenario, i.e. p s = 0.99
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25355384&Exemplar=1&LAN=DE A1 Chenyu Wu A1 Einar Bjarki Gunnarsson A1 Even Moa Myklebust A1 Alvaro Köhn-Luque A1 Dagim Shiferaw Tadele A1 Jorrit Martijn Enserink A1 Arnoldo Frigessi A1 Jasmine Foo A1 Kevin Leder YR 2024 K1 Biotechnology K1 Cancer K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 widely recognized trait K1 successful treatment strategies K1 subpopulation structure within K1 positive time correlation K1 poses significant challenges K1 many tumors harbor K1 dynamic variance along K1 simulated data (< K1 experimental data exhibits K1 experimental data (< K1 stochastic model based K1 newly proposed model K1 div >< p K1 model uses K1 model fit K1 vitro </ K1 using birth K1 silico </ K1 robust estimation K1 readily adapted K1 prior work K1 linear birth K1 developed phenopop K1 deterministic nature K1 death processes K1 death process K1 computational framework K1 bulk high JF doi:10.1371/journal.pcbi.1011888.g014 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1011888.g014 DO https://doi.org/10.1371/journal.pcbi.1011888.g014 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)