Demo Data from EDBT 2026 / reviewers in the wild / expert
Yijie Wang 0004
dblp:91/1726-4
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 5 · 4 first-author
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
5 papers |
Bioinformatics and computational biology · 84% Computational science and engineering · 16% | |
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation
gene regulatory network |
0.7 | 2 | 2020 | Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System · RECOMB 2020 NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks · RECOMB 2017 |
Bioinformatics and computational biology › biological network › network biology
network inference |
0.4 | 1 | 2020 | Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System · RECOMB 2020 |
Bioinformatics and computational biology
single-cell analysis |
0.4 | 1 | 2019 | Accurate Sub-population Detection and Mapping Across Single Cell Experiments with PopCorn · RECOMB 2019 |
Computational science and engineering › dynamical systems › network dynamics
network rewiring |
0.3 | 1 | 2017 | NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks · RECOMB 2017 |
Computational science and engineering › information retrieval
recommender systems |
0.1 | 1 | 2020 | Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System · RECOMB 2020 |
Data mining › structured data mining › graph mining
motif discovery |
0.1 | 1 | 2016 | AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments · RECOMB 2016 |
Data mining
pattern mining |
0.1 | 1 | 2016 | AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments · RECOMB 2016 |
Methods — techniques the papers use, named apart from their topics
selection trend analysis · 0.5HT-SELEX · 0.5recommendation systems · 0.4biological model integration · 0.4expression data integration · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Reconstruction of Gene Regulatory Networks by Integrating Biological Model and a Recommendation System
Yijie Wang 0004, Justin M. Fear, Isabelle Berger, Hangnoh Lee, Brian Oliver, Teresa M. Przytycka |
RECOMB | 1 |
| 2019 | Accurate Sub-population Detection and Mapping Across Single Cell Experiments with PopCorn
Yijie Wang 0004, Jan Hoinka, Teresa M. Przytycka |
RECOMB | 1 |
| 2018 | AptaBlocks: Accelerating the Design of RNA-Based Drug Delivery Systems
Yijie Wang 0004, Jan Hoinka, Piotr Swiderski, Teresa M. Przytycka |
RECOMB | 1 |
| 2017 | NetREX: Network Rewiring Using EXpression - Towards Context Specific Regulatory Networks
Yijie Wang 0004, Dong-Yeon Cho, Hangnoh Lee, Brian Oliver, Teresa M. Przytycka |
RECOMB | 1 |
| 2016 | AptaTRACE: Elucidating Sequence-Structure Binding Motifs by Uncovering Selection Trends in HT-SELEX Experiments
Phuong Dao, Jan Hoinka, Yijie Wang 0004, Mayumi Takahashi, Jiehua Zhou, Fabrizio Costa, John Rossi, John Burnett, Rolf Backofen, Teresa M. Przytycka |
RECOMB | 3 |