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Connection

Gregg Beckham to Machine Learning

This is a "connection" page, showing publications Gregg Beckham has written about Machine Learning.

 
Connection Strength
 
 
 
0.328
 
  1. Gado JE, Harrison BE, Sandgren M, St?hlberg J, Beckham GT, Payne CM. Machine learning reveals sequence-function relationships in family 7 glycoside hydrolases. J Biol Chem. 2021 Aug; 297(2):100931.
    View in: PubMed
    Score: 0.149
  2. Gado JE, Beckham GT, Payne CM. Improving Enzyme Optimum Temperature Prediction with Resampling Strategies and Ensemble Learning. J Chem Inf Model. 2020 08 24; 60(8):4098-4107.
    View in: PubMed
    Score: 0.140
  3. 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.
    View in: PubMed
    Score: 0.039
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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