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: NBLDA

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/NBLDA

Negative Binomial Linear Discriminant Analysis
3 versions
Latest release: over 2 years ago
616 downloads last month

Papers Mentioning NBLDA 7

10.1186/s12859-016-1208-1

NBLDA: negative binomial linear discriminant analysis for RNA-Seq data
Cited by: 34
Author(s): Kai Dong, Hongyu Zhao, Tiejun Tong, Xiang Wan
Software Mentions: 6
Published: about 8 years ago

A comprehensive simulation study on classification of RNA-Seq data
Cited by: 26
Author(s): Gökmen Zararsız, Dinçer Göksülük, Selçuk Korkmaz, Vahap Eldem, Gözde Ertürk Zararsız, İzzet Paruğ Duru, Ahmet Öztürk
Software Mentions: 5
Published: about 7 years ago

10.7717/peerj.8260

qtQDA: quantile transformed quadratic discriminant analysis for high-dimensional RNA-seq data
Cited by: 4
Author(s): Necla Koçhan, G. Yazgı Tütüncü, Gordon K. Smyth, Luke C. Gandolfo, Göknur Giner
Software Mentions: 3
Published: almost 5 years ago

10.3389/fgene.2021.642227

Selecting Classification Methods for Small Samples of Next-Generation Sequencing Data
Cited by: 2
Author(s): Jiadi Zhu, Ziyang Yuan, Lianjie Shu, Wenhui Liao, Mingtao Zhao, Yan Zhou
Software Mentions: 3
Published: over 3 years ago

10.7717/peerj.3890

voomDDA: discovery of diagnostic biomarkers and classification of RNA-seq data
Cited by: 14
Author(s): Gökmen Zararsız, Dinçer Göksülük, Bernd Klaus, Selçuk Korkmaz, Vahap Eldem, Erdem Karabulut, Ahmet Öztürk
Software Mentions: 2
Published: about 7 years ago

10.3389/fmed.2021.705071

Joint Modeling of RNAseq and Radiomics Data for Glioma Molecular Characterization and Prediction
Cited by: 3
Author(s): Zeina A. Shboul, Norou Diawara, Arastoo Vossough, James Y. Chen, Khan M. Iftekharuddin
Software Mentions: 2
Published: about 3 years ago

10.3390/ijms20071549

A Novel Network-Based Computational Model for Prediction of Potential LncRNA–Disease Association
Cited by: 11
Author(s): Yang Liu, Xin Feng, Haochen Zhao, Zhanwei Xuan, Lei Wang
Software Mentions: 1
Published: over 5 years ago