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11 matching publication(s)
Transcriptomic-Based Quantification of the Epithelial-Hybrid-Mesenchymal Spectrum across Biological Contexts.
PMID 35053177 · Biomolecules · 2021
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100/100
FEM: mining biological meaning from cell level in single-cell RNA sequencing data.
PMID 34909283 · PeerJ · 2021
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75/100
Molecular Classification Models for Triple Negative Breast Cancer Subtype Using Machine Learning.
PMID 34575658 · J Pers Med · 2021
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86/100
Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome.
PMID 34561431 · Nat Commun · 2021
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100/100
Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
PMID 34143800 · PLoS One · 2021
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75/100
PredTAD: A machine learning framework that models 3D chromatin organization alterations leading to oncogene dysregulation in breast cancer cell lines.
PMID 34093998 · Comput Struct Biotechnol J · 2021
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77/100
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissu
PMID 34056582 · Front Artif Intell · 2021
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92/100
eVITTA: a web-based visualization and inference toolbox for transcriptome analysis.
PMID 34019643 · Nucleic Acids Res · 2021
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82/100
Estimation of peptide elongation times from ribosome profiling spectra.
PMID 33885812 · Nucleic Acids Res · 2021
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76/100
Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.
PMID 33729159 · Elife · 2021
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94/100
TSUNAMI: Translational Bioinformatics Tool Suite for Network Analysis and Mining.
PMID 33705981 · Genomics Proteomics Bioinformatics · 2021
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79/100