 Connection
Gregg Beckham to Gene Regulatory Networks
This is a "connection" page, showing publications Gregg Beckham has written about Gene Regulatory Networks.
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Connection Strength |
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0.263 |
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Borchert AJ, Bleem AC, Lim HG, Rychel K, Dooley KD, Kellermyer ZA, Hodges TL, Palsson BO, Beckham GT. Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440. mSystems. 2024 03 19; 9(3):e0094223.
Score: 0.171
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Peters B, Beckham GT, Trout BL. Extensions to the likelihood maximization approach for finding reaction coordinates. J Chem Phys. 2007 Jul 21; 127(3):034109.
Score: 0.054
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Lim HG, Rychel K, Sastry AV, Bentley GJ, Mueller J, Schindel HS, Larsen PE, Laible PD, Guss AM, Niu W, Johnson CW, Beckham GT, Feist AM, Palsson BO. Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network. Metab Eng. 2022 07; 72:297-310.
Score: 0.038
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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