Search Results for author: Qianqian Song

Found 6 papers, 1 papers with code

A survey of Transformer applications for histopathological image analysis: New developments and future directions

1 code implementation journal 2023 Chukwuemeka Clinton Atabansi, Jing Nie, Haijun Liu, Qianqian Song, Lingfeng Yan, Xichuan Zhou

Transformers have been widely used in many computer vision challenges and have shown the capability of producing better results than convolutional neural networks (CNNs).

Survival Analysis

Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease

no code implementations12 Oct 2022 Enze Xu, Jingwen Zhang, Jiadi Li, Qianqian Song, Defu Yang, Guorong Wu, Minghan Chen

Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder characterized by beta-amyloid, pathologic tau, and neurodegeneration.

Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data

no code implementations1 Mar 2022 Minghan Chen, Chunrui Xu, Ziang Xu, wei he, Haorui Zhang, Jing Su, Qianqian Song

Those genes involved in the TGF-\b{eta} pathway and their crosstalk with the ERBB pathway presented a strong survival prognosis in clinical lung cancer samples.

Time Series Analysis

Splitting numerical integration for matrix completion

no code implementations14 Feb 2022 Qianqian Song

We conduct the convergence analysis of our splitting numerical integration algorithm.

Matrix Completion Numerical Integration

Uncovering the System Vulnerability and Criticality of Human Brain under Dynamical Neuropathological Events in Alzheimer's Disease

no code implementations22 Jan 2022 Jingwen Zhang, Qing Liu, Haorui Zhang, Michelle Dai, Qianqian Song, Defu Yang, Guorong Wu, Minghan Chen

Background: Despite the striking efforts in investigating neurobiological factors behind the acquisition of amyloid-\b{eta} (A), protein tau (T), and neurodegeneration ([N]) biomarkers, the mechanistic pathways of how AT[N] biomarkers spreading throughout the brain remain elusive.

Approximate Inference via Clustering

no code implementations28 Nov 2021 Qianqian Song

Specifically, we restrict our interest to the so-called well-clustered datasets and construct an \emph{approximate posterior} according to the clustering information.

Clustering

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