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Identifying context-specific transcription factor targets from prior knowledge and gene expression data.

, , and . BIBM, page 1-6. IEEE Computer Society, (2012)

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Inferring causal molecular networks: empirical assessment through a community-based effort, , , , , , , , , and 163 other author(s). Nature Methods, 13 (4): 310--318 (Feb 22, 2016)Identifying context-specific transcription factor targets from prior knowledge and gene expression data., , and . BIBM, page 1-6. IEEE Computer Society, (2012)CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures., , and . BMC Bioinform., 21 (1): 453 (2020)Matrix factorization for transcriptional regulatory network inference., and . CIBCB, page 387-396. IEEE, (2012)Regression Expression Variation Analysis (REVA): a rank-based multi-dimensional measure of correlation., , , and . ICMLA, page 1063-1070. IEEE, (2022)Ten Quick Tips for Deep Learning in Biology., , , , , , , , , and 10 other author(s). CoRR, (2021)Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer., , , , , , , , , and 6 other author(s). Bioinform., 34 (11): 1859-1867 (2018)projectR: an R/Bioconductor package for transfer learning via PCA, NMF, correlation and clustering., , , , and . Bioinform., 36 (11): 3592-3593 (2020)Quantifying the Dynamics of Coupled Networks of Switches and Oscillators., and . RECOMB, volume 7262 of Lecture Notes in Computer Science, page 60-61. Springer, (2012)The estimation of dimensionality in gene expression data using Nonnegative Matrix Factorization., , , , , and . BIBM, page 1642-1649. IEEE Computer Society, (2015)