Demo Data from SIGIR 2026 / reviewers in the wild / expert
Li-Fang Chu
dblp:155/2488
· DBLP profile ↗
2ranked-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 · 2
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 · 50% Medical and health informatics · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics › biomedical signal processing › physiological signal analysis
artifact detection |
0.2 | 1 | 2016 | OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data · Bioinform. 2016 |
Bioinformatics and computational biology › single-cell analysis › single-cell RNA sequencing
single-cell RNA-seq analysis |
0.2 | 1 | 2016 | OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
statistical testing · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq dataabstractUNLABELLED: A recent article identified an artifact in multiple single-cell RNA-seq (scRNA-seq) datasets generated by the Fluidigm C1 platform. Specifically, Leng et al. showed significantly increased gene expression in cells captured from sites with small or large plate output IDs. We refer to this artifact as an ordering effect (OE). Including OE genes in downstream analyses could lead to biased results. To address this problem, we developed a statistical method and software called OEFinder to identify a sorted list of OE genes. OEFinder is available as an R package along with user-friendly graphical interface implementations which allows users to check for potential artifacts in scRNA-seq data generated by the Fluidigm C1 platform. AVAILABILITY AND IMPLEMENTATION: OEFinder is freely available at https://github.com/lengning/OEFinder CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Ning Leng, Jeea Choi, Li-Fang Chu, James A. Thomson, Christina Kendziorski, Ron M. Stewart |
Bioinform. | 3 |
| 2013 | Comparative RNA-seq Analysis in the Unsequenced Axolotl: The Oncogene Burst Highlights Early Gene Expression in the BlastemaabstractThe salamander has the remarkable ability to regenerate its limb after amputation. Cells at the site of amputation form a blastema and then proliferate and differentiate to regrow the limb. To better understand this process, we performed deep RNA sequencing of the blastema over a time course in the axolotl, a species whose genome has not been sequenced. Using a novel comparative approach to analyzing RNA-seq data, we characterized the transcriptional dynamics of the regenerating axolotl limb with respect to the human gene set. This approach involved de novo assembly of axolotl transcripts, RNA-seq transcript quantification without a reference genome, and transformation of abundances from axolotl contigs to human genes. We found a prominent burst in oncogene expression during the first day and blastemal/limb bud genes peaking at 7 to 14 days. In addition, we found that limb patterning genes, SALL genes, and genes involved in angiogenesis, wound healing, defense/immunity, and bone development are enriched during blastema formation and development. Finally, we identified a category of genes with no prior literature support for limb regeneration that are candidates for further evaluation based on their expression pattern during the regenerative process. Ron M. Stewart, Cynthia Alexander Rascón, Shulan Tian, Jeff Nie, Chris Barry, Li-Fang Chu, Hamisha Ardalani, Ryan J. Wagner, Mitchell D. Probasco, Jennifer M. Bolin, Ning Leng, Srikumar Sengupta, Michael Volkmer, Bianca Habermann, Elly M. Tanaka, James A. Thomson, Colin N. Dewey |
PLoS Comput. Biol. | 6 |