AI ni Genomics adanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Roughly how many base pairs are in one haploid human reference genome?
   • Nipa 3 bilionu
   • Nipa 3 ẹgbẹrun
   • Nipa 3 milionu
   • Nipa 3 aimọye
2. Kini asọtẹlẹ DeepMind's AlphaMissense?
   • Awọn idiyele ti awọn itọju ailera pupọ
   • Boya awọn iyipada aiṣedeede le jẹ alaiṣe tabi pathogenic
   • Iru ẹjẹ alaisan kan
   • Apẹrẹ ti awọn sẹẹli ẹjẹ pupa
3. Kini idi ti DNA nigbagbogbo ṣe itọju bi 'ede' nipasẹ awọn awoṣe AI?
   • Nítorí pé èdè Gẹ̀ẹ́sì ni wọ́n fi kọ ọ́
   • Nitori awọn Jiini le sọrọ
   • Nitoripe o jẹ ọna gigun ti awọn lẹta (A, C, G, T) pẹlu awọn ilana ẹkọ
   • Nitoripe o nlo awọn aami ifamisi
4. Kini Dimegilio eewu polygenic kan?
   • A igbeyewo fun nikan baje Jiini
   • Iwọn bi ọpọlọpọ awọn Jiini ti o ni
   • A Dimegilio fun DNA lesese iyara
   • Iṣiro ti eewu arun apapọ ọpọlọpọ awọn ipa jiini kekere
5. In AlphaMissense, how does evolutionary conservation function in the model?
   • It is one signal combined with structural context to help predict missense effects
   • It proves every change at a conserved position is harmful
   • It alone determines a clinical diagnosis
   • It measures a patient’s disease severity
6. Kini ibi-afẹde AI ti n ṣe apẹrẹ itọsọna CRISPR RNAs?
   • Lati jẹ ki DNA tan imọlẹ
   • Lati mu iwọn awọn atunṣe ibi-afẹde ati ki o dinku awọn ipa ibi-afẹde
   • Lati fa fifalẹ pipin sẹẹli
   • Lati tumọ DNA sinu amuaradagba
7. What information did AlphaMissense use in adapting an AlphaFold-based model for missense-effect prediction?
   • Only a patient’s symptoms
   • Only CT images
   • Human and primate variant population-frequency data
   • A list of medical billing codes
8. How should a predicted pathogenicity score be used in clinical variant interpretation?
   • As a stand-alone diagnosis
   • As proof that a person will develop disease
   • As a replacement for genetic counseling
   • As one computational evidence source alongside clinical and functional evidence