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Chunxia Qin

dblp:209/8090 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Applied, 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.

Artificial intelligence
1 paper
Information extraction and text analysis · 67% Image recognition and object detection · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › document understanding
document layout analysis
0.812024
SEMv3: A Fast and Robust Approach to Table Separation Line Detection · IJCAI 2024
Computer vision › Image recognition and object detection › visual feature analysis
line detection
0.812024
SEMv3: A Fast and Robust Approach to Table Separation Line Detection · IJCAI 2024
Natural language and speech › Information extraction and text analysis › document understanding › table recognition
table structure recognition
0.812024
SEMv3: A Fast and Robust Approach to Table Separation Line Detection · IJCAI 2024
Bioinformatics and computational biology › epigenomics › differential methylation analysis
differentially methylated region detection
0.312017
Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing · Bioinform. 2017
Bioinformatics and computational biology › epigenomics › DNA methylation
DNA methylation profiling
0.312017
Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing · Bioinform. 2017
Bioinformatics and computational biology
epigenomics
0.312017
Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing · Bioinform. 2017
Data integration and cleaning › data extraction
table extraction
0.212024
SEMv3: A Fast and Robust Approach to Table Separation Line Detection · IJCAI 2024
Bioinformatics and computational biology
alzheimer's disease
0.112017
Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing · Bioinform. 2017

Methods — techniques the papers use, named apart from their topics

table separation line detection · 1.5whole-genome bisulfite sequencing · 0.3RNA sequencing · 0.3
YearPublicationVenuePosition
2024 SEMv3: A Fast and Robust Approach to Table Separation Line Detection
Chunxia Qin, Pengfei Hu 0006, Jiefeng Ma, Jun Du 0002
IJCAI1
2017 Genome-wide analysis of DNA methylation profiles in a senescence-accelerated mouse prone 8 brain using whole-genome bisulfite sequencing
abstract
MOTIVATION: The pathogenesis of AD is complex and contributed by both genetic and environmental factors. Recent work revealed a potential link between DNA methylation and AD. However, a genome-wide study to identify potential DNA methylation sites involved in AD is still at an early stage. WGBS, an up-to-date technology, was used in this study. We investigated mouse brain genome-wide DNA methylation profiles between seven-month-old SAMP8 and SAMR1 models through deep WGBS. RESULTS: According to the results, the global ML slightly decreased in the SAMP8 mice than in the SAMR1 mice (4.12% versus 4.19%). A total of 1 307 172 280 clean reads were obtained. Subsequently, we identified 63 DMRs from all cases in SAMP8 mice relative to SAMR1 mice. In addition, 26 DMR-related genes were detected. GO analyses revealed that these DMR-related genes were involved in regulating the development of AD from different aspects. Finally, three differentially expressed DMR-related genes ( Dlgap1 , TMEM51 and Eif2ak2 ) that were most likely involved in AD were summarized and listed in detail. Our study provided a systematic exploration of DNA methylation profiles in SAMP8 mouse brain for the first time. These novel methylation sites may be considered strong future candidates to combat this life-threatening disease. AVAILABILITY AND IMPLEMENTATION: The WGBS sequencing clean data and RNA-seq clean data have been deposited in the NCBI Sequence Read Archive (SRA).The accession number of WGBS is SRP097054. The accession number of RNA-seq is SRP096779. CONTACT: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Chunxia Qin, Guoqiong Cao, Chengqiang Feng
Bioinform.2