EDBT 2026 Demo / reviewers in the wild / expert
Tianyin Zhou
dblp:34/10196
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
genomic sequence analysis |
0.2 | 1 | 2016 | DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding · Bioinform. 2016 |
Bioinformatics and computational biology
k-mer encoding |
0.2 | 1 | 2016 | DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
machine learning · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encodingabstractUNLABELLED: DNAshapeR predicts DNA shape features in an ultra-fast, high-throughput manner from genomic sequencing data. The package takes either nucleotide sequence or genomic coordinates as input and generates various graphical representations for visualization and further analysis. DNAshapeR further encodes DNA sequence and shape features as user-defined combinations of k-mer and DNA shape features. The resulting feature matrices can be readily used as input of various machine learning software packages for further modeling studies. AVAILABILITY AND IMPLEMENTATION: The DNAshapeR software package was implemented in the statistical programming language R and is freely available through the Bioconductor project at https://www.bioconductor.org/packages/devel/bioc/html/DNAshapeR.html and at the GitHub developer site, http://tsupeichiu.github.io/DNAshapeR/ CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Tsu-Pei Chiu, Federico Comoglio, Tianyin Zhou, Renato Paro, Remo Rohs |
Bioinform. | 3 |