Detalhe da pesquisa
1.
Deep generative selection models of T and B cell receptor repertoires with soNNia.
Proc Natl Acad Sci U S A
; 118(14)2021 04 06.
Artigo
Inglês
| MEDLINE | ID: mdl-33795515
2.
SOS: online probability estimation and generation of T-and B-cell receptors.
Bioinformatics
; 36(16): 4510-4512, 2020 08 15.
Artigo
Inglês
| MEDLINE | ID: mdl-32814974
3.
Population variability in the generation and selection of T-cell repertoires.
PLoS Comput Biol
; 16(12): e1008394, 2020 12.
Artigo
Inglês
| MEDLINE | ID: mdl-33296360
4.
Mutual information maximization for amortized likelihood inference from sampled trajectories: MINIMALIST.
Phys Rev E
; 105(5-2): 055309, 2022 May.
Artigo
Inglês
| MEDLINE | ID: mdl-35706287
5.
Dynamics of B cell repertoires and emergence of cross-reactive responses in patients with different severities of COVID-19.
Cell Rep
; 35(8): 109173, 2021 05 25.
Artigo
Inglês
| MEDLINE | ID: mdl-33991510
6.
Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity.
ArXiv
; 2021 Apr 06.
Artigo
Inglês
| MEDLINE | ID: mdl-32699813
7.
Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity.
medRxiv
; 2021 Apr 05.
Artigo
Inglês
| MEDLINE | ID: mdl-32699862
8.
Generative models of T-cell receptor sequences.
Phys Rev E
; 101(6-1): 062414, 2020 Jun.
Artigo
Inglês
| MEDLINE | ID: mdl-32688532
9.
A Markovian model of evolving world input-output network.
PLoS One
; 12(10): e0186746, 2017.
Artigo
Inglês
| MEDLINE | ID: mdl-29065145