Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data

[1] Aibar S, 2017, NAT METHODS, V14, P1083, DOI [10.1038/NMETH.4463, 10.1038/nmeth.4463]

[2] Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software [J]. BMC BIOINFORMATICS, 2020, 21 (01)

[3] Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors [J]. NATURE BIOTECHNOLOGY, 2018, 36 (05) : 421 - +

[4] Multi-omics approaches to disease [J]. GENOME BIOLOGY, 2017, 18

[5] Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment [J]. NATURE COMMUNICATIONS, 2022, 13 (01)

[6] The sva package for removing batch effects and other unwanted variation in high-throughput experiments [J]. BIOINFORMATICS, 2012, 28 (06) : 882 - 883

[7] Applications of single-cell sequencing in cancer research: progress and perspectives [J]. JOURNAL OF HEMATOLOGY & ONCOLOGY, 2021, 14 (01)

[8] A benchmark study of deep learning-based multi-omics data fusion methods for cancer [J]. GENOME BIOLOGY, 2022, 23 (01)

[9] Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine [J]. BRIEFINGS IN BIOINFORMATICS, 2021, 22 (05)

[10] DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks [J]. PATTERNS, 2022, 3 (03):

[1] Aibar S, 2017, NAT METHODS, V14, P1083, DOI [10.1038/NMETH.4463, 10.1038/nmeth.4463]

[2] Guidelines for cell-type heterogeneity quantification based on a comparative analysis of reference-free DNA methylation deconvolution software [J]. BMC BIOINFORMATICS, 2020, 21 (01)

[3] Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors [J]. NATURE BIOTECHNOLOGY, 2018, 36 (05) : 421 - +

[4] Multi-omics approaches to disease [J]. GENOME BIOLOGY, 2017, 18

[5] Multi-omics analysis identifies osteosarcoma subtypes with distinct prognosis indicating stratified treatment [J]. NATURE COMMUNICATIONS, 2022, 13 (01)

[6] The sva package for removing batch effects and other unwanted variation in high-throughput experiments [J]. BIOINFORMATICS, 2012, 28 (06) : 882 - 883

[7] Applications of single-cell sequencing in cancer research: progress and perspectives [J]. JOURNAL OF HEMATOLOGY & ONCOLOGY, 2021, 14 (01)

[8] A benchmark study of deep learning-based multi-omics data fusion methods for cancer [J]. GENOME BIOLOGY, 2022, 23 (01)

[9] Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine [J]. BRIEFINGS IN BIOINFORMATICS, 2021, 22 (05)

[10] DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks [J]. PATTERNS, 2022, 3 (03):