Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sha He
dblp:157/1846
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 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.
| Computer graphics and multimedia
1 paper |
Computational fabrication · 50% Geometric modeling and processing · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication
additive manufacturing |
0.4 | 1 | 2019 | Binary Image Carving for 3D Printing · Comput. Aided Des. 2019 |
Geometric modeling and processing
solid modeling |
0.4 | 1 | 2019 | Binary Image Carving for 3D Printing · Comput. Aided Des. 2019 |
Bioinformatics and computational biology
genomics |
0.2 | 1 | 2015 | LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis · Bioinform. 2015 |
Bioinformatics and computational biology › transcriptomics › non-coding RNA analysis
lncRNA function analysis |
0.2 | 1 | 2015 | LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysis · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
triplex formation analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Binary Image Carving for 3D Printing
Jingru Yang, Sha He, Lin Lu 0001 |
Comput. Aided Des. | 2 |
| 2015 | LongTarget: a tool to predict lncRNA DNA-binding motifs and binding sites via Hoogsteen base-pairing analysisabstractMOTIVATION: In mammalian cells, many genes are silenced by genome methylation. DNA methyltransferases and polycomb repressive complexes, which both lack sequence-specific DNA-binding motifs, are recruited by long non-coding RNA (lncRNA) to specific genomic sites to methylate DNA and chromatin. Increasing evidence indicates that many lncRNAs contain DNA-binding motifs that can bind to DNA by forming RNA:DNA triplexes. The identification of lncRNA DNA-binding motifs and binding sites is essential for deciphering lncRNA functions and correct and erroneous genome methylation; however, such identification is challenging because lncRNAs may contain thousands of nucleotides. No computational analysis of typical lncRNAs has been reported. Here, we report a computational method and program (LongTarget) to predict lncRNA DNA-binding motifs and binding sites. We used this program to analyse multiple antisense lncRNAs, including those that control well-known imprinting clusters, and obtained results agreeing with experimental observations and epigenetic marks. These results suggest that it is feasible to predict many lncRNA DNA-binding motifs and binding sites genome-wide. AVAILABILITY AND IMPLEMENTATION: Website of LongTarget: lncrna.smu.edu.cn, or contact: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Sha He, Haihua Liu |
Bioinform. | 1 |