Bowen Liu

Aug 23, 2024 | onlinelibrary.wiley.com | Bowen Liu |Yu Song |Ying Xu |Qiang Sun

1 INTRODUCTION Locally advanced breast cancer (LABC) presents a significant challenge in oncological management.1, 2 While breast cancer represents the most prevalent malignancy among women, with a rising incidence, LABC treatment strategies remain an active area of investigation.3, 4 The definition of LABC encompasses stage III disease, characterized by primary tumors (T0–T3) with extensive lymph node involvement (N2–N3) or chest wall/skin extension (T4).

May 21, 2024 | biorxiv.org | Xin Zeng |Shu Liu |Bowen Liu |Weihang Zhang

AbstractMotivation: Understanding the dynamics of gene regulatory networks (GRNs) across various cellular states is crucial for deciphering the underlying mechanisms governing cell behavior and functionality.

Mar 15, 2024 | molecular-cancer.biomedcentral.com | Tao Jiang |Junwen Qi |Zhenyu Xue |Bowen Liu |Jianquan Liu |Qihang hu | +7 more

ReferencesSiegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73:17–48. PubMed  Google Scholar  Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023;73:233–54. PubMed  Google Scholar  Andrei P, Battuello P, Grasso G, Rovera E, Tesio N, Bardelli A. Integrated approaches for precision oncology in colorectal cancer: the more you know, the better. Semin Cancer Biol. 2022;84:199–213.

Dec 1, 2023 | biorxiv.org | Weihang Zhang |Yang Cui |Bowen Liu |Martin Lopez

AbstractReliable cell type annotations are crucial for investigating cellular heterogeneity in single-cell omics data. Although various computational approaches have been proposed for single-cell RNA sequencing (scRNA-seq) annotation, high-quality cell labels are still lacking in single-cell ATAC sequencing (scATAC-seq) data, because of extreme sparsity and inconsistent chromatin accessibility between datasets.

Oct 13, 2023 | mdpi.com | Jinghong Zhang |Yingying Li |Bowen Liu |Hao Chen

1. IntroductionThe issue of class imbalance has been a challenge in the fields of data mining, computer vision, and machine learning over the past decade [1,2]. The class imbalance problem is prominently visible within machine learning datasets, where the distribution of instances across diverse classes is drastically uneven. Classical machine learning models tend to be biased towards majority classes. Conversely, minority classes can hardly determine the parameters of the classifier.