Michael Rudolph to Computational Biology
This is a "connection" page, showing publications Michael Rudolph has written about Computational Biology.
Connection Strength
0.887
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Single Cell RNA Sequencing of Human Milk-Derived Cells Reveals Sub-Populations of Mammary Epithelial Cells with Molecular Signatures of Progenitor and Mature States: a Novel, Non-invasive Framework for Investigating Human Lactation Physiology. J Mammary Gland Biol Neoplasia. 2020 12; 25(4):367-387.
Score: 0.635
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Resolving Human Lactation Heterogeneity Using Single Milk-Derived Cells, a Resource at the Ready. J Mammary Gland Biol Neoplasia. 2021 03; 26(1):3-8.
Score: 0.165
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Identifying significant temporal variation in time course microarray data without replicates. BMC Bioinformatics. 2009 Mar 26; 10:96.
Score: 0.071
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Gene regulatory networks in lactation: identification of global principles using bioinformatics. BMC Syst Biol. 2007 Nov 27; 1:56.
Score: 0.016