Motif Features
Motif Features is a time series feature extraction method that identifies and quantifies recurrent, discriminative subsequences (motifs) within a time series to capture its underlying temporal patterns and structural characteristics.
352
Publications
21.6K
Citations
1.6K
Authors
569
Institutions
Publications per year
2017–2026
59
352
Rudolf Grosschedl, Max L. Birnstiel · Proceedings of the National Academy of Sciences · 1980 · 467 citations · Full text
Eric Lam, Philip N. Benfey, Philip M. Gilmartin et al. · Proceedings of the National Academy of Sciences · 1989 · 406 citations · Full text
Binding of myc proteins to canonical and noncanonical DNA sequences.
T. Keith Blackwell, Jing Huang, Averil Ma et al. · Molecular and Cellular Biology · 1993 · 375 citations · Full text
Content based image retrieval using motif cooccurrence matrix
N. Jhanwar, Syomantak Chaudhuri, Guna Seetharaman et al. · Image and Vision Computing · 2004 · 294 citations
1–5 of 352
1.6K
3
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 1.6K
569

Centre National de la Recherche Scientifique
Paris, France
10 h-index
33 publications
1.8K citations
National Institutes of Health
Bethesda, United States
8 h-index
35 publications
3K citations
Inserm
Paris, France
6 h-index
27 publications
1K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
33 publications
813 citations
Harvard University
Cambridge, United States
6 h-index
23 publications
1.8K citations
The University of Osaka
Osaka, Japan
6 h-index
18 publications
548 citations
Columbia University
New York, United States
5 h-index
8 publications
298 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
26 publications
2.5K citations
1–8 of 569
JBC · 28 publications · 2K citations
23
h-index
PNAS · 17 publications · 2.2K citations
17
h-index
18 publications · 1.3K citations
15
h-index
12 publications · 452 citations
12
h-index
MCB · 12 publications · 1.4K citations
12
h-index
1–5