Tina Pesaran to Computational Biology
This is a "connection" page, showing publications Tina Pesaran has written about Computational Biology.
Connection Strength
0.386
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Improved, ACMG-compliant, in silico prediction of pathogenicity for missense substitutions encoded by TP53 variants. Hum Mutat. 2018 08; 39(8):1061-1069.
Score: 0.149
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Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. HGG Adv. 2025 Oct 09; 6(4):100484.
Score: 0.061
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Assigning credit where it is due: an information content score to capture the clinical value of multiplexed assays of variant effect. BMC Bioinformatics. 2024 Sep 06; 25(1):295.
Score: 0.057
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Curated multiple sequence alignment for the Adenomatous Polyposis Coli (APC) gene and accuracy of in silico pathogenicity predictions. PLoS One. 2020; 15(8):e0233673.
Score: 0.043
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Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline CDH1 sequence variants. Hum Mutat. 2018 11; 39(11):1553-1568.
Score: 0.038
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Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criterion. Hum Mutat. 2018 11; 39(11):1517-1524.
Score: 0.038