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Computational and Structural Biotechnology Journal|February 9, 2023
Multi-task deep autoencoder to predict Alzheimer's disease progression using temporal DNA methylation data in peripheral bloodLi Chen, Andrew J Saykin, Bing Yao, et al.Communications Biology|October 19, 2024
Identification of brain region-specific landscape and functions of clustered circRNAs in Alzheimer's disease using circMeta2Fengdi Zhao, Yangping Li, Li Chen, et al.Biorxiv : the Preprint Server for Biology|February 8, 2024
scaDA: A Novel Statistical Method for Differential Analysis of Single-Cell Chromatin Accessibility Sequencing DataFengdi Zhao, Xin Ma, Bing Yao, et al.Plos Computational Biology|August 2, 2024
scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing dataFengdi Zhao, Xin Ma, Bing Yao, et al.Biorxiv : the Preprint Server for Biology|March 18, 2024
Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning modelXin Ma, Sai Ritesh Thela, Fengdi Zhao, et al.Bioinformatics (Oxford, England)|August 28, 2024
Deep5hmC: predicting genome-wide 5-hydroxymethylcytosine landscape via a multimodal deep learning modelXin Ma, Sai Ritesh Thela, Fengdi Zhao, et al.Bioinformatics (Oxford, England)|April 7, 2022
Exploiting deep transfer learning for the prediction of functional non-coding variants using genomic sequenceLi Chen, Ye Wang, Fengdi ZhaoBriefings in Bioinformatics|May 22, 2021
WEVar: a novel statistical learning framework for predicting noncoding regulatory variantsYe Wang, Yuchao Jiang, Bing Yao, et al.Bioinformatics (Oxford, England)|January 28, 2023
TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletionsAman Agarwal, Fengdi Zhao, Yuchao Jiang, et al.Clinical Breast Cancer|January 21, 2003
Breast cancer chemotherapy-related cognitive dysfunctionTim A Ahles, Andrew J SaykinPageof 1,358