Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data (Q64236132)

2

0 references

Yijie Ding

3

0 references

Jijun Tang

4

0 references

Fei Guo

Creative Commons Attribution 4.0 International

5

0 references

language of work or name

English

0 references

publication date

2019

0 references

published in

Frontiers in Genetics

0 references

volume

10

0 references

page(s)

20

0 references

copyright license

start time

5 February 2019

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

Multi-class cancer classification via partial least squares with gene expression profiles.

1 reference

12 December 2020

Metagenes and molecular pattern discovery using matrix factorization

1 reference

12 December 2020

Improving molecular cancer class discovery through sparse non-negative matrix factorization.

1 reference

12 December 2020

Bacteria and cancer: cause, coincidence or cure? A review

1 reference

12 December 2020

Gene-expression analysis and the basal-like breast cancer subtype

1 reference

12 December 2020

An immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer

1 reference

12 December 2020

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis

1 reference

12 December 2020

FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number.

1 reference

12 December 2020

Tumor immune subtypes distinguish tumor subclasses with clinical implications in breast cancer patients.

1 reference

12 December 2020

1 reference

12 December 2020

E-cadherin and gastric cancer: cause, consequence, and applications

1 reference

12 December 2020

The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge

1 reference

12 December 2020

Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery

1 reference

12 December 2020

Clinical implications of the intrinsic molecular subtypes of breast cancer

1 reference

12 December 2020

Integrating heterogeneous genomic data to accurately identify disease subtypes

1 reference

12 December 2020

Prediction and Validation of Disease Genes Using HeteSim Scores

1 reference

12 December 2020

Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data

1 reference

12 December 2020

Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.

1 reference

12 December 2020

Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data

1 reference

12 December 2020

Fast prediction of protein methylation sites using a sequence-based feature selection technique.

1 reference

12 December 2020

Analysis of Co-Associated Transcription Factors via Ordered Adjacency Differences on Motif Distribution

1 reference

12 December 2020

Accounting for tumor purity improves cancer subtype classification from DNA methylation data

1 reference

12 December 2020

CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation, and visualization.

1 reference

12 December 2020

Consensus Molecular Subtypes of Colorectal Cancer and their Clinical Implications.

1 reference

12 December 2020

MicroRNAs and complex diseases: from experimental results to computational models.

1 reference

12 December 2020

Unsupervised multiple kernel learning for heterogeneous data integration

1 reference

12 December 2020

Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier

1 reference

12 December 2020

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction

1 reference

12 December 2020

Probability-based collaborative filtering model for predicting gene-disease associations

1 reference

12 December 2020

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

1 reference

12 December 2020

A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties.

1 reference

12 December 2020

Progressive Approach for SNP Calling and Haplotype Assembly Using Single Molecular Sequencing Data.

1 reference

12 December 2020

HLPI-Ensemble: Prediction of human lncRNA-protein interactions based on ensemble strategy

1 reference

12 December 2020

BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction

1 reference

12 December 2020

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

1 reference

12 December 2020

Predicting drug-disease associations by using similarity constrained matrix factorization.

1 reference

12 December 2020

Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach.

1 reference

12 December 2020

IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction

1 reference

12 December 2020

Sequence clustering in bioinformatics: an empirical study

1 reference

12 December 2020

Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species

1 reference

12 December 2020

The Bipartite Network Projection-Recommended Algorithm for Predicting Long Non-coding RNA-Protein Interactions

1 reference

12 December 2020

Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks

1 reference

12 December 2020