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Wennan Chang

Showing results (1-10 of 14) with videos related to

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Briefings in Bioinformatics|July 8, 2022
Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang et alWennan Chang, Chi Zhang, Sha Cao
Briefings in Bioinformatics|July 23, 2021
Supervised clustering of high-dimensional data using regularized mixture modelingWennan Chang, Changlin Wan, Yong Zang, et al.
Genomics, Proteomics & Bioinformatics|July 5, 2022
Acid-base Homeostasis and Implications to the Phenotypic Behaviors of CancerYi Zhou, Wennan Chang, Xiaoyu Lu, et al.
Plos Computational Biology|March 29, 2022
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learningJunyi Zhou, Xiaoyu Lu, Wennan Chang, et al.
Cancers|November 3, 2020
Modulation of Immune Infiltration of Ovarian Cancer Tumor Microenvironment by Specific Subpopulations of FibroblastsJi Wang, Frank H C Cheng, Jessica Tedrow, et al.
BMC Bioinformatics|December 22, 2019
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing dataYu Zhang, Changlin Wan, Pengcheng Wang, et al.
Blood|June 30, 2022
Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewalArafat Aljoufi, Chi Zhang, James Ropa, et al.
Briefings in Bioinformatics|November 24, 2020
SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics dataXiaoyu Lu, Szu-Wei Tu, Wennan Chang, et al.
Nucleic Acids Research|August 3, 2019
LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq dataChanglin Wan, Wennan Chang, Yu Zhang, et al.
Computational and Structural Biotechnology Journal|April 4, 2023
Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneitySha Cao, Wennan Chang, Changlin Wan, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Briefings in Bioinformatics|July 8, 2022
Response to 'Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression based clustering', Zhang et alWennan Chang, Chi Zhang, Sha Cao
Briefings in Bioinformatics|July 23, 2021
Supervised clustering of high-dimensional data using regularized mixture modelingWennan Chang, Changlin Wan, Yong Zang, et al.
Genomics, Proteomics & Bioinformatics|July 5, 2022
Acid-base Homeostasis and Implications to the Phenotypic Behaviors of CancerYi Zhou, Wennan Chang, Xiaoyu Lu, et al.
Plos Computational Biology|March 29, 2022
PLUS: Predicting cancer metastasis potential based on positive and unlabeled learningJunyi Zhou, Xiaoyu Lu, Wennan Chang, et al.
Cancers|November 3, 2020
Modulation of Immune Infiltration of Ovarian Cancer Tumor Microenvironment by Specific Subpopulations of FibroblastsJi Wang, Frank H C Cheng, Jessica Tedrow, et al.
BMC Bioinformatics|December 22, 2019
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing dataYu Zhang, Changlin Wan, Pengcheng Wang, et al.
Blood|June 30, 2022
Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewalArafat Aljoufi, Chi Zhang, James Ropa, et al.
Briefings in Bioinformatics|November 24, 2020
SSMD: a semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics dataXiaoyu Lu, Szu-Wei Tu, Wennan Chang, et al.
Nucleic Acids Research|August 3, 2019
LTMG: a novel statistical modeling of transcriptional expression states in single-cell RNA-Seq dataChanglin Wan, Wennan Chang, Yu Zhang, et al.
Computational and Structural Biotechnology Journal|April 4, 2023
Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneitySha Cao, Wennan Chang, Changlin Wan, et al.
Pageof 2