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Multiplexed Assays of Variant Effect and Automated Patch-clamping Improve KCNH2 -LQTS Variant Classification and Cardiac Event Risk Stratification.

Matthew J O'NeillChai-Ann NgTakanori AizawaLuca SalaSahej BainsAnnika WinboRizwan UllahQianyi ShenChek-Ying TanKrystian KozekLoren R VanagsDevyn W MitchellAlex ShenYuko WadaAsami KashiwaLia CrottiFederica DagradiGiulia MusuCarla SpazzoliniRaquel NevesJ Martijn BosJohn R GiudicessiXavier BledsoeEric R GamazonMegan LancasterAndrew M GlazerBjorn C KnollmannDan M RodenJochen WeileFrederick RothJoe-Elie SalemNikki EarleRachael StilesTaylor AgeeChristopher N JohnsonMinoru HorieJonathan SkinnerMichael J AckermanPeter J SchwartzSeiko OhnoJamie I VandenbergBrett M Kroncke
Published in: medRxiv : the preprint server for health sciences (2024)
heterozygotes.
Keyphrases
  • deep learning
  • machine learning
  • high throughput
  • single cell
  • left ventricular
  • heart failure
  • atrial fibrillation