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Anjun Ma

Showing results (41-50 of 81) with videos related to

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Nature Communications|January 6, 2024
MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformerXiaoying Wang, Maoteng Duan, Jingxian Li, et al.
G3 (Bethesda, Md.)|February 28, 2019
The Genetics and Genome-Wide Screening of Regrowth Loci, a Key Component of Perennialism in <i>Zea diploperennis</i>Anjun Ma, Yinjie Qiu, Tajbir Raihan, et al.
Bioinformatics (Oxford, England)|September 11, 2019
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq dataJuan Xie, Anjun Ma, Yu Zhang, et al.
Nature Methods|September 15, 2025
The new microbiome on the block: challenges and opportunities of using human tumor sequencing data to study microbesYingjie Li, Anjun Ma, Evan Johnson, et al.
Nucleic Acids Research|August 3, 2019
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning frameworkJinyu Yang, Anjun Ma, Adam D Hoppe, et al.
Nucleic Acids Research|May 19, 2020
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-SeqAnjun Ma, Cankun Wang, Yuzhou Chang, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health RecordsWeimin Meng, Jie Xu, Yu Huang, et al.
JCI Insight|May 5, 2022
Biological aging of CNS-resident cells alters the clinical course and immunopathology of autoimmune demyelinating diseaseJeffrey R Atkinson, Andrew D Jerome, Andrew R Sas, et al.
Pageof 9

Showing results (41-50 of 81) with videos related to

Sort By:
Pageof 9
Nature Communications|January 6, 2024
MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformerXiaoying Wang, Maoteng Duan, Jingxian Li, et al.
G3 (Bethesda, Md.)|February 28, 2019
The Genetics and Genome-Wide Screening of Regrowth Loci, a Key Component of Perennialism in <i>Zea diploperennis</i>Anjun Ma, Yinjie Qiu, Tajbir Raihan, et al.
Bioinformatics (Oxford, England)|September 11, 2019
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq dataJuan Xie, Anjun Ma, Yu Zhang, et al.
Nature Methods|September 15, 2025
The new microbiome on the block: challenges and opportunities of using human tumor sequencing data to study microbesYingjie Li, Anjun Ma, Evan Johnson, et al.
Nucleic Acids Research|August 3, 2019
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning frameworkJinyu Yang, Anjun Ma, Adam D Hoppe, et al.
Nucleic Acids Research|May 19, 2020
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-SeqAnjun Ma, Cankun Wang, Yuzhou Chang, et al.
Nature Communications|March 26, 2021
scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Nature Communications|May 4, 2022
Author Correction: scGNN is a novel graph neural network framework for single-cell RNA-Seq analysesJuexin Wang, Anjun Ma, Yuzhou Chang, et al.
Medrxiv : the Preprint Server for Health Sciences|July 23, 2024
Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health RecordsWeimin Meng, Jie Xu, Yu Huang, et al.
JCI Insight|May 5, 2022
Biological aging of CNS-resident cells alters the clinical course and immunopathology of autoimmune demyelinating diseaseJeffrey R Atkinson, Andrew D Jerome, Andrew R Sas, et al.
Pageof 9