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Xianling Cong

dblp:91/7348 · DBLP profile ↗
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8ranked-venue papers
0as first author
7since 2021 · last 2026
0000-0002-5790-4188ORCID · corroborated

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

Artificial intelligence and machine learning · 7 · 7 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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › data integration
cross-platform data integration
0.112009
WebArrayDB: cross-platform microarray data analysis and public data repository · Bioinform. 2009
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.112009
WebArrayDB: cross-platform microarray data analysis and public data repository · Bioinform. 2009
Bioinformatics and computational biology › biological database
microarray data management
0.112009
WebArrayDB: cross-platform microarray data analysis and public data repository · Bioinform. 2009

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

t-test · 0.1normalization · 0.1ANOVA · 0.1ANCOVA · 0.1
YearPublicationVenuePosition
2026 Deep learning models for digital medical imaging: a survey
Xueju Wang, Yujia Cong, Lele Cong, Xianling Cong, Shisong Tang, Hechang Chen
Appl. Intell.5
2026 A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation
Bo Yu 0013, Jiuman Song, Lele Cong, Xianling Cong, Jouke Dijkstra, Philip S. Yu, Hechang Chen
Neural Networks4
2025 A position-aware sets based weakly supervised framework for whole-slide subtype classification
Jiuman Song, Bo Yu 0013, Lele Cong, Xianling Cong, Hongyan Sun, Shuchao Pang, Hechang Chen
Eng. Appl. Artif. Intell.6
2024 An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides
Hongren Zhou, Hechang Chen, Bo Yu 0013, Shuchao Pang, Xianling Cong, Lele Cong
Expert Syst. Appl.5
2023 Multi-modality multi-scale cardiovascular disease subtypes classification using Raman image and medical history
Bo Yu 0013, Hechang Chen, Chengyou Jia, Hongren Zhou, Lele Cong, Xiankai Li, Jianhui Zhuang, Xianling Cong
Expert Syst. Appl.8
2023 Data and knowledge co-driving for cancer subtype classification on multi-scale histopathological slides
Bo Yu 0013, Hechang Chen, Yunke Zhang, Lele Cong, Shuchao Pang, Hongren Zhou, Xianling Cong
Knowl. Based Syst.8
2023 Pyramid multi-loss vision transformer for thyroid cancer classification using cytological smear
Bo Yu 0013, Hechang Chen, Xianling Cong, Jouke Dijkstra, Lele Cong
Knowl. Based Syst.6
2009 WebArrayDB: cross-platform microarray data analysis and public data repository
abstract
MOTIVATION: Cross-platform microarray analysis is an increasingly important research tool, but researchers still lack open source tools for storing, integrating and analyzing large amounts of microarray data obtained from different array platforms. RESULTS: An open source integrated microarray database and analysis suite, WebArrayDB (http://www.webarraydb.org), has been developed that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion, and allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters. AVAILABILITY: The software package is available for the use on a public web server (http://www.webarraydb.org) or can be downloaded. are available at Bioinformatics online.
Xiaoqin Xia, Michael McClelland, Steffen Porwollik, Wenzhi Song, Xianling Cong, Yipeng Wang 0006
Bioinform.5