Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Projects: cran: lmQCM
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/lmQCM
An Algorithm for Gene Co-Expression Analysis
8 versions
Latest release: about 2 years ago
240 downloads last month
Papers Mentioning lmQCM 12
10.1038/s41598-020-79740-x
Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s DiseaseCited by: 12
Author(s): Travis Johnson, Shunian Xiang, Tianhan Dong, Zhi Huang, Michael Cheng, Tianfu Wang, Kai Yang, Dong Ni, Kun Huang, Jie Zhang
Software Mentions: 4
Published: almost 4 years ago
10.1186/s12864-016-3259-0
Pan-cancer analysis of frequent DNA co-methylation patterns reveals consistent epigenetic landscape changes in multiple cancersCited by: 46
Author(s): Jie Zhang, Kun Huang
Software Mentions: 3
Published: almost 8 years ago
10.3390/cancers12030603
The Application of Deep Learning in Cancer Prognosis PredictionCited by: 187
Author(s): Wan Zhu, Longxiang Xie, Jianye Han, Xiangqian Guo
Software Mentions: 3
Published: over 4 years ago
10.3389/fgene.2019.00468
Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma ProgressionCited by: 7
Author(s): Christina Y. Yu, Shunian Xiang, Zhi Huang, Travis Johnson, Xiaowei Zhan, Zhi Han, Mohammad Abu Zaid, Kun Huang
Software Mentions: 3
Published: over 5 years ago
10.3389/fgene.2021.687813
Mechanism-Centric Approaches for Biomarker Detection and Precision Therapeutics in CancerCited by: 7
Author(s): Christina Y. Yu, Antonina Mitrofanova
Software Mentions: 3
Published: over 3 years ago
10.3390/genes10090665
Gene Co-Expression Networks Restructured Gene Fusion in Rhabdomyosarcoma CancersCited by: 5
Author(s): Bryan R. Helm, Xiaowei Zhan, Pankita H. Pandya, Mary Ellen Murray, Karen E. Pollok, Jamie L. Renbarger, Michael J. Ferguson, Zhi Han, Dong Ni, Jie Zhang, Kun Huang
Software Mentions: 3
Published: about 5 years ago
10.1186/s12859-019-2733-5
Generalized gene co-expression analysis via subspace clustering using low-rank representationCited by: 5
Author(s): Tongxin Wang, Jie Zhang, Kun Huang
Software Mentions: 2
Published: over 5 years ago
10.3389/fgene.2019.00166
SALMON: Survival Analysis Learning With Multi-Omics Neural Networks on Breast CancerCited by: 128
Author(s): Zhi Huang, Xiaowei Zhan, Shunian Xiang, Travis Johnson, Bryan R. Helm, Christina Y. Yu, Jie Zhang, Paul Salama, Maher Rizkalla, Zhi Han, Kun Huang
Software Mentions: 2
Published: over 5 years ago
10.1186/s12920-018-0431-1
Condition-specific gene co-expression network mining identifies key pathways and regulators in the brain tissue of Alzheimer’s disease patientsCited by: 21
Author(s): Shunian Xiang, Zhi Huang, Tianfu Wang, Zhi Han, Christina Y. Yu, Dong Ni, Kun Huang, Jie Zhang
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13062-019-0244-y
Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patientsCited by: 22
Author(s): Han Ying, Xiufen Ye, Chao Wang, Yusong Liu, Siyuan Zhang, Weixing Feng, Kun Huang, Jie Zhang
Software Mentions: 2
Published: about 5 years ago
10.1186/s13062-018-0229-2
Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients’ survival timeCited by: 21
Author(s): Han Ying, Xiufen Ye, Jun Cheng, Siyuan Zhang, Weixing Feng, Zhi Han, Jie Zhang, Kun Huang
Software Mentions: 2
Published: almost 6 years ago
10.1155/2017/3035481
Functional Virtual Flow Cytometry: A Visual Analytic Approach for Characterizing Single-Cell Gene Expression PatternsCited by: 6
Author(s): Zhi Han, Travis Johnson, Jie Zhang, Xuan Zhang, Kun Huang
Software Mentions: 2
Published: almost 8 years ago