h1

h2

h3

h4

h5
h6

001     1020743
005     20260207055818.0
024 7 _ |a 1548-7091
|2 ISSN
024 7 _ |a 1548-7105
|2 ISSN
024 7 _ |a SCOPUS:2-s2.0-105019519937
|2 SCOPUS
024 7 _ |a WOS:001598773600001
|2 WOS
024 7 _ |a 10.1038/s41592-025-02870-5
|2 doi
024 7 _ |a 10.18154/RWTH-2025-09210
|2 datacite_doi
037 _ _ |a RWTH-2025-09210
041 _ _ |a English
082 _ _ |a 610
100 1 _ |0 P:(DE-82)774736
|a Cheng, Mingbo
|b 0
|u rwth
245 _ _ |a PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories
|h online
260 _ _ |a London [u.a.]
|b Nature Publishing Group
|c 2025
300 _ _ |a 26 Seiten
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
500 _ _ |a Published: 23 October 2025
588 _ _ |a Dataset connected to , , , CrossRef, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
591 _ _ |a Netherlands
591 _ _ |a USA
700 1 _ |0 P:(DE-82)949287
|a Jansen, Jitske
|b 1
|u rwth
700 1 _ |0 P:(DE-82)IDM06154
|a Reimer, Katharina Charlotte
|b 2
|u rwth
700 1 _ |0 P:(DE-82)IDM06029
|a Grande, Vincent Peter
|b 3
|u rwth
700 1 _ |0 P:(DE-82)814331
|a Nagai, James S.
|b 4
|u rwth
700 1 _ |0 0000-0002-1523-1333
|a Li, Zhijian
|b 5
700 1 _ |0 P:(DE-82)1020773
|a Kießling, Paul
|b 6
|u rwth
700 1 _ |0 P:(DE-82)958448
|a Grasshoff, Martin
|b 7
|u rwth
700 1 _ |0 P:(DE-588)1016467567
|a Kuppe, Christoph
|b 8
|u rwth
700 1 _ |0 P:(DE-82)IDM03949
|a Schaub, Michael Thomas
|b 9
|u rwth
700 1 _ |0 P:(DE-588)135824044
|a Kramann, Rafael
|b 10
|e Corresponding author
|u rwth
700 1 _ |0 P:(DE-82)IDM00542
|a Costa, Ivan G.
|b 11
|e Corresponding author
|u rwth
773 _ _ |0 PERI:(DE-600)2163081-1
|a 10.1038/s41592-025-02870-5
|t Nature methods
|x 1548-7105
|y 2025
856 4 _ |u https://publications.rwth-aachen.de/record/1020743/files/1020743.pdf
|y OpenAccess
876 7 _ |c 23892.83
|v 3536.14
|e Hybrid-OA
|d 2026-02-06
|j Publish and Read
|8 2936205253
|9 2024-12-19
|x 021000-925410
909 C O |o oai:publications.rwth-aachen.de:1020743
|p openaire
|p open_access
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)774736
|a RWTH Aachen
|b 0
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)949287
|a RWTH Aachen
|b 1
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM06154
|a RWTH Aachen
|b 2
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM06029
|a RWTH Aachen
|b 3
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)814331
|a RWTH Aachen
|b 4
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)1020773
|a RWTH Aachen
|b 6
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)958448
|a RWTH Aachen
|b 7
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-588)1016467567
|a RWTH Aachen
|b 8
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM03949
|a RWTH Aachen
|b 9
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-588)135824044
|a RWTH Aachen
|b 10
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM00542
|a RWTH Aachen
|b 11
|k RWTH
914 1 _ |y 2025
915 1 _ |0 StatID:(DE-HGF)0031
|2 StatID
|a Peer reviewed article
|x 0
915 _ _ |a IF >= 40
|0 StatID:(DE-HGF)9940
|2 StatID
|b NAT METHODS : 2022
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2025-01-07
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT METHODS : 2022
|d 2025-01-07
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-07
915 _ _ |a DEAL Nature
|0 StatID:(DE-HGF)3003
|2 StatID
|d 2025-01-07
|w ger
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-07
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-07
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2025-01-07
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-07
915 p c |a APC keys set
|2 APC
|0 PC:(DE-HGF)0000
915 p c |a Local Funding
|2 APC
|0 PC:(DE-HGF)0001
915 p c |a DFG OA Publikationskosten
|2 APC
|0 PC:(DE-HGF)0002
915 p c |a German library consortium, jointly administered by TIB and MPDL: Springer Nature 01.01.2025
|2 APC
|0 PC:(DE-HGF)0177
920 1 _ |0 I:(DE-82)530000-5_20190109
|k 530000-5 ; 925410
|l Institut und Lehrstuhl für Computergestützte Genomik
|x 0
920 1 _ |0 I:(DE-82)531020-2_20140620
|k 531020-2 ; 932610
|l Klinik und Lehrstuhl für Innere Medizin (mit dem Schwerpunkt Nephrologie und Immunologie)
|x 1
920 1 _ |0 I:(DE-82)125230_20200623
|k 125230 ; 125210
|l Lehrstuhl für Computational Network Science
|x 2
920 1 _ |0 I:(DE-82)120000_20140620
|k 120000
|l Fachgruppe Informatik
|x 3
980 1 _ |a FullTexts
980 _ _ |a I:(DE-82)120000_20140620
980 _ _ |a I:(DE-82)125230_20200623
980 _ _ |a I:(DE-82)530000-5_20190109
980 _ _ |a I:(DE-82)531020-2_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a journal
980 _ _ |a APC

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21