PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
2023 · BMC Bioinformatics · 25 citations
https://doi.org/10.1186/s12859-023-05187-2
J
Jens Allmer
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Jens Allmer is an academic researcher from Ruhr West University of Applied Sciences. The author has contributed to research in topics: MicroRNA in disease regulation & Genomics and Phylogenetic Studies & Cancer-related molecular mechanisms research. The author has an h-index of 25, co-authored 94 publications.
ORCID: 0000-0002-2164-7335Papers by this author
worksCategorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers
2017 · EURASIP Journal on Advances in Signal Processing · 13 citations
https://doi.org/10.1186/s13634-017-0506-8
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
2008 · BMC Bioinformatics · 8 citations
https://doi.org/10.1186/1471-2105-9-302
Additional file 1: Table S1. of MicroRNA categorization using sequence motifs and k-mers
2017 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3717175_d1
Additional file 1: Table S1. of Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers
2017 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3904534_d1
Additional file 3: File S2. of MicroRNA categorization using sequence motifs and k-mers
2017 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3717175_d3
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