Sökresultat - "Bulk RNA-seq"

GAN Learning Methods for Bulk RNA-Seq Data and Their Interpretive Application in the Context of Disease Progression

Kim, Yongjin^Aff3, Cheon, Mookyung^Aff3

Azad, Rajeev K.^Aff2, Walker, John M.^Aff1

Data Analysis Pipeline for scRNA-seq Experiments to Study Early Oogenesis

Ge, Wei^Aff4, Zhang, Teng^Aff5, Zhou, Yang^Aff5, Shen, Wei^Aff4

Barchi, Marco^Aff2, De Felici, Massimo^Aff3, Walker, John M.^Aff1

Bulk and Single-Cell RNA-Seq Analyses for Studies of Spermatogonia

Singh, Anukriti^Aff4, Hermann, Brian P.^Aff5

M. Oatley, Jon^Aff2, Hermann, Brian P.^Aff3, Walker, John M.^Aff1

Integrated Analysis of Bulk and Single-Cell Transcriptomics in Cervical Cancer: Insights into BPGM, EGLN3, and SUN1

Elsherif, Assem K., Emam, Mohamed, Abushady, Asmaa M., Gamaleldin, Mariam, Al-Atabany, Walid, Elhadidi, Mohamed

2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE)

Immune-related hub genes and their role in psoriasis pathogenesis

Tingting Yin, Tingting Zhang, Lei Ma

electronic resource

Visa

Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis

Yongfu Shao, Chujia Chen, Xuan Yu, Jianing Yan, Junming Guo, Guoliang Ye

electronic resource

Visa

Comprehensive bioinformatics analysis identified HMGB3 as a promising immunotherapy target for glioblastoma multiforme

Libin Wang, Peizhi Xu, Xinglong Li, Qinghua Zhang

electronic resource

Visa

Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

Thirimanne, H, Almiron-Bonnin, Damian, Nuechterlein, Nicholas, Arora, Sonali, Jensen, Matt, Parada, Carolina, Qiu, Chengxiang, Szulzewsky, Frank, English, Collin, Chen, William, Sievers, Philipp, Nassiri, Farshad, Wang, Justin, Klisch, Tiemo, Aldape, Kenneth, Patel, Akash, Cimino, Patrick, Zadeh, Gelareh, Sahm, Felix, Raleigh, David, Shendure, Jay, Ferreira, Manuel, Holland, Eric

application/pdf

An augmented GSNMF model for complete deconvolution of bulk RNA-seq data

Shaoyu Li, Su Xu, Xue Wang, Nilüfer Ertekin-Taner, Duan Chen

electronic resource

Visa

Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

Beate C. Braun, Michał M. Hryciuk, Dorina Meneghini

electronic resource

Visa

B-cell signatures characterize the immune landscape and predict LUAD prognosis via the integration of scRNA-seq and bulk RNA-seq

Kexin Xu, Di Han, Zhengyuan Fan, Ya Li, Suxiao Liu, Yixi Liao, Hua Zhou, Qibiao Wu, Suyun Li

electronic resource

Visa

Comprehensive analysis of scRNA-seq and bulk RNA-seq reveals the non-cardiomyocytes heterogeneity and novel cell populations in dilated cardiomyopathy

Siyu He, Chunyu Li, Mingxin Lu, Fang Lin, Sangyu Hu, Junfang Zhang, Luying Peng, Li Li

electronic resource

Visa

Joint analysis of single-cell RNA sequencing and bulk transcriptome reveals the heterogeneity of the urea cycle of astrocytes in glioblastoma

Minfeng Tong, Qi Tu, Lude Wang, Huahui Chen, Xing Wan, Zhijian Xu

electronic resource

Visa; Visa

Integration of bulk RNA-seq and scRNA-seq reveals transcriptomic signatures associated with deep vein thrombosis

Bao-ze Pan, Ming-jun Jiang, Li-ming Deng, Jie Chen, Xian-peng Dai, Zi-xuan Wu, Zhi-he Deng, Dong-yang Luo, Yang-yi-jing Wang, Dan Ning, Guo-zuo Xiong, Guo-shan Bi

electronic resource

Visa; Visa

Comprehensive transcriptomic analysis integrating bulk and single-cell RNA-seq with machine learning to identify and validate mitochondrial unfolded protein response biomarkers in patients with ischemic stroke

Lu Zhang, Lei Yue, Peng Jia, Ziqi Cheng, Jiwen Liu

electronic resource

Visa; Visa

MTFAP: a comprehensive platform for predicting and analyzing master transcription factors

Jianyuan Zhou, Haojie Yu, Chunhui Lou, Min Yang, Yanshang Li, Qian Yang, Shuhan Li, Chunwang Ji, Song Li, Shuang Wang, Haotian Cao, Xuecang Li, Lian Liu

electronic resource

Visa

An AutoEncoder-Based Matrix Factorization Approach to Estimating Cell Proportion from Bulk Tumor RNA-seq Data

Xu, Yingze, Wang, Yan, Xie, Xuping, Wang, Feilong, Chen, Qiong, Sun, Huiyan

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Comprehensive analysis of sialylation-related genes and construct the prognostic model in sepsis

Tao, Linfeng, Zhou, Yanyou, Wu, Lifang, Liu, Jun^{Aff1, IDs4159802469185x_cor4}

Mitochondrial RNA modification-based signature to predict prognosis of lower grade glioma: a multi-omics exploration and verification study

Zhou, Xingwang, Ling, Yuanguo, Cui, Junshuan, Wang, Xiang, Long, Niya, Teng, Wei, Liu, Jian, Xiang, Xin, Yang, Hua^{Aff1, IDs4159802463592w_cor9}, Chu, Liangzhao^{Aff1, IDs4159802463592w_cor10}

imply: improving cell-type deconvolution accuracy using personalized reference profiles

Meng, Guanqun, Pan, Yue, Tang, Wen, Zhang, Lijun, Cui, Ying, Schumacher, Fredrick R., Wang, Ming, Wang, Rui, He, Sijia, Krischer, Jeffrey, Li, Qian^{Aff2, IDs1307302401338z_cor11}, Feng, Hao^{Aff1, IDs1307302401338z_cor12}