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
Integrative Analysis and Machine Learning Based Characteriz..:
Iyer, Arvind
;
Gupta, Krishan
;
Sharma, Shreya
...
Journal of Clinical Medicine. 9 (2020) 4 - p. 1206 , 2020
Link:
https://doi.org/10.3390/jcm9041206
RT Journal T1
Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_jcm9041206&Exemplar=1&LAN=DE A1 Iyer, Arvind A1 Gupta, Krishan A1 Sharma, Shreya A1 Hari, Kishore A1 Lee, Yi A1 Ramalingam, Neevan A1 Yap, Yoon A1 West, Jay A1 Bhagat, Ali A1 Subramani, Balaram A1 Sabuwala, Burhanuddin A1 Tan, Tuan A1 Thiery, Jean A1 Jolly, Mohit A1 Ramalingam, Naveen A1 Sengupta, Debarka PB MDPI AG YR 2020 SN 2077-0383 JF Journal of Clinical Medicine VO 9 IS 4 SP 1206 LK http://dx.doi.org/https://doi.org/10.3390/jcm9041206 DO https://doi.org/10.3390/jcm9041206 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)