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Chenfeng He

Showing results (21-30 of 32) with videos related to

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Genome Medicine|October 31, 2023
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype predictionPramod Bharadwaj Chandrashekar, Sayali Alatkar, Jiebiao Wang, et al.
Journal of Immunology (Baltimore, Md. : 1950)|June 28, 2020
Rapid HIV Progression Is Associated with Extensive Ongoing Somatic HypermutationBen S Wendel, Yajing Fu, Chenfeng He, et al.
Science Translational Medicine|June 3, 2016
Direct measurement of T cell receptor affinity and sequence from naïve antiviral T cellsShu-Qi Zhang, Patricia Parker, Ke-Yue Ma, et al.
Nature Immunology|November 23, 2021
High-throughput and high-dimensional single-cell analysis of antigen-specific CD8<sup>+</sup> T cellsKe-Yue Ma, Alexandra A Schonnesen, Chenfeng He, et al.
Cell Reports Methods|March 20, 2023
BOMA, a machine-learning framework for comparative gene expression analysis across brains and organoidsChenfeng He, Noah Cohen Kalafut, Soraya O Sandoval, et al.
Nature Communications|September 16, 2017
Accurate immune repertoire sequencing reveals malaria infection driven antibody lineage diversification in young childrenBen S Wendel, Chenfeng He, Mingjuan Qu, et al.
Communications Biology|January 24, 2023
Murine breast cancers disorganize the liver transcriptome in a zonated mannerAlexis Vandenbon, Rin Mizuno, Riyo Konishi, et al.
Frontiers in Immunology|February 4, 2020
Lineage Tracking the Generation of T Regulatory Cells From Microbial Activated T Effector Cells in Naïve MiceKun Zhu, Chenfeng He, Si-Qi Liu, et al.
Frontiers in Immunology|May 27, 2022
Transcriptome and TCR Repertoire Measurements of CXCR3<sup>+</sup> T Follicular Helper Cells Within HIV-Infected Human Lymph NodesChenfeng He, Michael J Malone, Ben S Wendel, et al.
Cell Reports|September 19, 2019
Mapping the Lineage Relationship between CXCR5<sup>+</sup> and CXCR5<sup>-</sup> CD4<sup>+</sup> T Cells in HIV-Infected Human Lymph NodesDaniel Del Alcazar, Yifeng Wang, Chenfeng He, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Genome Medicine|October 31, 2023
DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype predictionPramod Bharadwaj Chandrashekar, Sayali Alatkar, Jiebiao Wang, et al.
Journal of Immunology (Baltimore, Md. : 1950)|June 28, 2020
Rapid HIV Progression Is Associated with Extensive Ongoing Somatic HypermutationBen S Wendel, Yajing Fu, Chenfeng He, et al.
Science Translational Medicine|June 3, 2016
Direct measurement of T cell receptor affinity and sequence from naïve antiviral T cellsShu-Qi Zhang, Patricia Parker, Ke-Yue Ma, et al.
Nature Immunology|November 23, 2021
High-throughput and high-dimensional single-cell analysis of antigen-specific CD8<sup>+</sup> T cellsKe-Yue Ma, Alexandra A Schonnesen, Chenfeng He, et al.
Cell Reports Methods|March 20, 2023
BOMA, a machine-learning framework for comparative gene expression analysis across brains and organoidsChenfeng He, Noah Cohen Kalafut, Soraya O Sandoval, et al.
Nature Communications|September 16, 2017
Accurate immune repertoire sequencing reveals malaria infection driven antibody lineage diversification in young childrenBen S Wendel, Chenfeng He, Mingjuan Qu, et al.
Communications Biology|January 24, 2023
Murine breast cancers disorganize the liver transcriptome in a zonated mannerAlexis Vandenbon, Rin Mizuno, Riyo Konishi, et al.
Frontiers in Immunology|February 4, 2020
Lineage Tracking the Generation of T Regulatory Cells From Microbial Activated T Effector Cells in Naïve MiceKun Zhu, Chenfeng He, Si-Qi Liu, et al.
Frontiers in Immunology|May 27, 2022
Transcriptome and TCR Repertoire Measurements of CXCR3<sup>+</sup> T Follicular Helper Cells Within HIV-Infected Human Lymph NodesChenfeng He, Michael J Malone, Ben S Wendel, et al.
Cell Reports|September 19, 2019
Mapping the Lineage Relationship between CXCR5<sup>+</sup> and CXCR5<sup>-</sup> CD4<sup>+</sup> T Cells in HIV-Infected Human Lymph NodesDaniel Del Alcazar, Yifeng Wang, Chenfeng He, et al.
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