E-LIB Suche - Ergebnisse für: Togninalli, Matteo

1

Mapping the Insomnia Severity Index Instrument to EQ-5D Hea..:

Chalet, François-Xavier ; Bujaroska, Teodora ; Germeni, Evi...
PharmacoEconomics - Open. 7 (2023) 1 - p. 149-161 , 2023

Link: https://doi.org/10.1007/..

2

Multi-modal deep learning improves grain yield prediction i..:

Togninalli, Matteo ; Wang, Xu ; Kucera, Tim...
Bioinformatics. 39 (2023) 6 - p. , 2023

Link: https://doi.org/10.1093/..

3

Machine learning-based classification of dual fluorescence ..:

Togninalli, Matteo ; Ho, Andrew T. V. ; Madl, Christopher M....
npj Regenerative Medicine. 8 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

4

Conditional generative modeling forde novoprotein design wi..:

Kucera, Tim ; Togninalli, Matteo ; Meng-Papaxanthos, Laetitia.
Bioinformatics. 38 (2022) 13 - p. 3454-3461 , 2022

Link: https://doi.org/10.1093/..

5

RNA atlas of human bacterial pathogens uncovers stress dyna..:

Avican, Kemal ; Aldahdooh, Jehad ; Togninalli, Matteo...
Nature Communications. 12 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

6

A Wasserstein Subsequence Kernel for Time Series:

, In: 2019 IEEE International Conference on Data Mining (ICDM),

Bock, Christian ; Togninalli, Matteo ; Ghisu, Elisabetta... - p. 964-969 , 2019

Link: https://doi.org/10.1109/..

7

AraPheno and the AraGWAS Catalog 2020: a major database upd..:

Togninalli, Matteo ; Seren, Ümit ; Freudenthal, Jan A...
Nucleic Acids Research. , 2019

Link: https://doi.org/10.1093/..

8

Accurate and adaptive imputation of summary statistics in m..:

Togninalli, Matteo ; Roqueiro, Damian ; Borgwardt, Karsten M.
Bioinformatics. 34 (2018) 17 - p. i687-i696 , 2018

Link: https://doi.org/10.1093/..

9

The AraGWAS Catalog: a curated and standardized Arabidopsis..:

Togninalli, Matteo ; Seren, Ümit ; Meng, Dazhe...
Nucleic Acids Research. 46 (2017) D1 - p. D1150-D1156 , 2017

Link: https://doi.org/10.1093/..

10

Sequence-dependent mechanical, photophysical and electrical..:

Ardoña, Herdeline Ann M. ; Besar, Kalpana ; Togninalli, Matteo..
Journal of Materials Chemistry C. 3 (2015) 25 - p. 6505-6514 , 2015

Link: https://doi.org/10.1039/..

11

Machine learning-based classification of dual fluorescence ..:

Togninalli, Matteo ; Ho, Andrew T. V ; Madl, Christopher M...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839750/. , 2023

Link: http://www.ncbi.nlm.nih...

12

Multi-modal deep learning improves grain yield prediction i..:

Togninalli, Matteo ; Wang, Xu ; Kucera, Tim...
DOI:10.5061/dryad.kprr4xh5p. , 2023

Link: http://hdl.handle.net/10..

13

Multi-modal deep learning improves grain yield prediction i..:

Togninalli, Matteo ; Wang, Xu ; Kucera, Tim...
info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/btad336. , 2023

Link: https://hdl.handle.net/2..

14

Reference Panels for ARDISS: Reference Panels:

Roqueiro, Damian Sabas ; id_orcid:0 000-0002-9195-5915 ; Togninalli, Matteo
http://hdl.handle.net/20.500.11850/610750. , 2023

Link: https://hdl.handle.net/2..

15

Mapping the Insomnia Severity Index instrument to EQ-5D hea..:

Chalet, François-Xavier ; Bujaroska, Teodora ; Germeni, Evi...
https://eprints.gla.ac.uk/290443/1/290443.pdf. , 2023

Link: https://eprints.gla.ac.u..