Author

Libo Wang

First Affiliated Hospital of Xi'an Jiaotong UniversityORCID 0000-0003-3745-9459Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Siyuan WengiD· 3 shared Xinwei HaniD· 3 shared Zaoqu LiuiD· 3 shared Zhe XingiD· 3 shared Chunguang GuoiD· 2 shared Hui XuiD· 2 shared Jian ZhangiD· 2 shared Long LiuiD· 2 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Siyuan WengORCID

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3 papers

Recent·Most cited

GenomicsJournal Of Big DataPeer-reviewedNov 1, 2023

BEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors

Zaoqu Liu, Long Liu, Siyuan Weng…·Xinwei Han

BEST provides a web tool for comprehensive biomarker analysis in solid tumors using large-scale, multi-cohort data with standardized annotations and diverse analytical functions.

165 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 25, 2022

SurvivalML: an integrative platform for the discovery and exploration of prognostic models in multi-center cancer cohorts

Zaoqu Liu, Hui Xu, Long Liu…·Xinwei Han

SurvivalML is a web platform that helps develop and validate prognostic models across multi-center cancer datasets by providing tools for data processing, model training, and evaluation.

DOI 10.1101/2022.10.25.513678

humanbulk RNA-seq

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BioinformaticseLifePeer-reviewedOct 17, 2022

Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancer

Libo Wang, Zaoqu Liu, Ruopeng Liang…·Yuling Sun

The paper develops an AI-derived prognostic signature for pancreatic cancer using multi-center cohorts and machine learning, showing improved predictive performance and clinical relevance.

108 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky