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Connection

Christopher Calderon to Proteins

This is a "connection" page, showing publications Christopher Calderon has written about Proteins.

 
Connection Strength
 
 
 
1.165
 
  1. Calderon CP, Ripple DC, Srinivasan C, Ma Y, Carrier MJ, Randolph TW, O'Connor TF. Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy. Pharm Res. 2022 Feb; 39(2):263-279.
    View in: PubMed
    Score: 0.519
  2. Calderon CP, Daniels AL, Randolph TW. Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations. J Pharm Sci. 2018 04; 107(4):999-1008.
    View in: PubMed
    Score: 0.391
  3. Calderon CP, Krhac Levacic A, Helbig C, Wuchner K, Menzen T. Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles. J Pharm Sci. 2022 09; 111(9):2422-2434.
    View in: PubMed
    Score: 0.133
  4. Witeof AE, Daniels AL, Rea LT, Movafaghi S, Kurtz K, Davis M, Eveland RW, Calderon CP, Randolph TW. Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping. J Pharm Sci. 2021 07; 110(7):2743-2752.
    View in: PubMed
    Score: 0.122
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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