EP 4364150 A1 20240508 - SELF-LEARNED BASE CALLER, TRAINED USING ORGANISM SEQUENCES
Title (en)
SELF-LEARNED BASE CALLER, TRAINED USING ORGANISM SEQUENCES
Title (de)
SELBSTERLERNTER, UNTER VERWENDUNG VON ORGANISMUSSEQUENZEN TRAINIERTER BASISANRUFER
Title (fr)
APPELANT DE BASE AUTO-APPRIS, ENTRAÎNÉ À L'AIDE DE SÉQUENCES D'ORGANISMES
Publication
Application
Priority
- US 202163216404 P 20210629
- US 202163216419 P 20210629
- US 202217830287 A 20220601
- US 202217830316 A 20220601
- US 2022035567 W 20220629
Abstract (en)
[origin: WO2023278609A1] A method of progressively training a base caller is disclosed. The method includes initially training a base caller, and generating labelled training data using the initially trained base caller; and (i) further training the base caller with analyte comprising organism base sequences, and generating labelled training data using the further trained base caller. The method includes iteratively further training the base caller by repeating step (i) for N iterations, which includes further training the base caller for N1 iterations of the N iterations with analyte comprising a first organism base sequence, and further training the base caller for N2 iterations of the N iterations with analyte comprising a second organism base sequence. A complexity of neural network configurations loaded in the base caller monotonically increases with the N iterations, and labelled training data generated during an iteration is used to train the base caller during an immediate subsequent iteration.
IPC 8 full level
G16B 30/00 (2019.01); G16B 40/20 (2019.01); G16B 50/30 (2019.01)
CPC (source: EP KR)
G06N 3/045 (2023.01 - KR); G16B 30/00 (2019.02 - EP KR); G16B 40/20 (2019.02 - EP KR); G16B 50/30 (2019.02 - EP KR)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
WO 2023278609 A1 20230105; AU 2022300970 A1 20240118; AU 2022302056 A1 20240118; CA 3224382 A1 20230105; CA 3224387 A1 20230105; EP 4364150 A1 20240508; EP 4364155 A1 20240508; KR 20240027599 A 20240304; KR 20240027608 A 20240304; WO 2023278608 A1 20230105
DOCDB simple family (application)
US 2022035567 W 20220629; AU 2022300970 A 20220629; AU 2022302056 A 20220629; CA 3224382 A 20220629; CA 3224387 A 20220629; EP 22748543 A 20220629; EP 22751495 A 20220629; KR 20237043352 A 20220629; KR 20237044214 A 20220629; US 2022035564 W 20220629