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moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks

BMC bioinformatics, 2023-04, Vol.24 (1), p.169-169, Article 169

2023

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methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

BMC bioinformatics, 2020-05, Vol.21 (1), p.181-181, Article 181

2020

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meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles

BMC bioinformatics, 2023-04, Vol.24 (1), p.168-168, Article 168

2023

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moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud

PeerJ (San Francisco, CA), 2024-02, Vol.12, p.e17006-e17006, Article e17006

2024

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BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data

BMC bioinformatics, 2018-12, Vol.19 (1), p.472-472, Article 472

2018

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HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis

BMC bioinformatics, 2019-12, Vol.20 (Suppl 16), p.588-588, Article 588

2019

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Oncogenic ETS proteins mimic activated RAS/MAPK signaling in prostate cells

Genes & development, 2011-10, Vol.25 (20), p.2147-2157

2011

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Literature-based condition-specific miRNA-mRNA target prediction

PloS one, 2017-03, Vol.12 (3), p.e0174999-e0174999

2017

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Correction to "A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data"

IEEE access, 2021, Vol.9, p.16567-16567

2021

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Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing

IEEE access, 2021, Vol.9, p.14540-14548

2021

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A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data

IEEE access, 2020, Vol.8, p.42342-42348

2020

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DegPack: A web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples

Methods (San Diego, Calif.), 2014-10, Vol.69 (3), p.306-314

2014

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Targeted Sequencing Revealed Distinct Mutational Profiles of Ocular and Extraocular Sebaceous Carcinomas

Cancers, 2021-09, Vol.13 (19), p.4810

2021

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Comparative Gene Expression Profiles in Parathyroid Adenoma and Normal Parathyroid Tissue

Journal of clinical medicine, 2019-03, Vol.8 (3), p.297

2019

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Colorectal Cancer Prognosis is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study

Journal of clinical medicine, 2019-01, Vol.8 (1), p.111

2019

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Rapid In-Plane Pattern Growth for Large-Area Inverse Replication Through Electrohydrodynamic Instability of Polymer Films

Small (Weinheim an der Bergstrasse, Germany), 2024-04, p.e2400155-e2400155

2024

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Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.66-76

2021

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Electrohydrodynamic Nanopatterning: A Novel Solvent-Assisted Technique for Unconventional Substrates

Nano letters, 2023-12, Vol.23 (24), p.11949-11957

2023

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BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud

Bioinformatics, 2021-12, Vol.38 (1), p.275-277

2021

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Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

Briefings in bioinformatics, 2021-01, Vol.22 (1), p.607-607

2021

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BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data

Bioinformatics (Oxford, England), 2015-01, Vol.31 (2), p.265-267

2015

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Combined analysis of gene regulatory network and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples

BMC medical genomics, 2015-05, Vol.8 Suppl 2 (S2), p.S10-S10, Article S10

2015

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Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines

BMC systems biology, 2016-12, Vol.10 (Suppl 4), p.116-116, Article 116

2016

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BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data

Methods (San Diego, Calif.), 2016-12, Vol.111, p.64-71

2016

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Integrated analysis of genome-wide DNA methylation and gene expression profiles in molecular subtypes of breast cancer

Nucleic acids research, 2013-10, Vol.41 (18), p.8464

2013

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moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks

methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles

moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud

BiSpark: a Spark-based highly scalable aligner for bisulfite sequencing data

HTRgene: a computational method to perform the integrated analysis of multiple heterogeneous time-series data: case analysis of cold and heat stress response signaling genes in Arabidopsis

Oncogenic ETS proteins mimic activated RAS/MAPK signaling in prostate cells

Literature-based condition-specific miRNA-mRNA target prediction

Correction to "A Non-Negative Matrix Factorization Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data"

Cell Subtype Classification via Representation Learning Based on a Denoising Autoencoder for Single-Cell RNA Sequencing

A Non-Negative Matrix Factorization-Based Framework for the Analysis of Multi-Class Time-Series Single-Cell RNA-Seq Data

DegPack: A web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples

Targeted Sequencing Revealed Distinct Mutational Profiles of Ocular and Extraocular Sebaceous Carcinomas

Comparative Gene Expression Profiles in Parathyroid Adenoma and Normal Parathyroid Tissue

Colorectal Cancer Prognosis is Not Associated with BRAF and KRAS Mutations-A STROBE Compliant Study

Rapid In-Plane Pattern Growth for Large-Area Inverse Replication Through Electrohydrodynamic Instability of Polymer Films

Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

Electrohydrodynamic Nanopatterning: A Novel Solvent-Assisted Technique for Unconventional Substrates

BioVLAB-Cancer-Pharmacogenomics: tumor heterogeneity and pharmacogenomics analysis of multi-omics data from tumor on the cloud

Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

BioVLAB-MMIA-NGS: microRNA-mRNA integrated analysis using high-throughput sequencing data

Combined analysis of gene regulatory network and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples

Subtype-specific CpG island shore methylation and mutation patterns in 30 breast cancer cell lines

BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data

Integrated analysis of genome-wide DNA methylation and gene expression profiles in molecular subtypes of breast cancer

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