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Heinonen, Markus
225
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Online (225)
Mediatypes
Articles (Online) (54)
Bookchapter (Online) (1)
OpenAccess-fulltext (170)
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english (151)
finnish (3)
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1
S176: FUNCTIONAL AND ANTIGEN-SPECIFIC CHARACTERIZATION OF I..:
Huuhtanen, Jani
;
Lundgren, Sofie
;
Keränen, Mikko
...
HemaSphere. 7 (2023) S3 - p. e2285644 , 2023
Link:
https://doi.org/10.1097/..
?
2
Chemistry-Based Modeling on Phenotype-Based Drug-Induced Li..:
Moein, Mohammad
;
Heinonen, Markus
;
Mesens, Natalie
...
Chemical Research in Toxicology. 36 (2023) 8 - p. 1238-1247 , 2023
Link:
https://doi.org/10.1021/..
?
3
Likelihood-free inference with deep Gaussian processes:
Aushev, Alexander
;
Pesonen, Henri
;
Heinonen, Markus
..
Computational Statistics & Data Analysis. 174 (2022) - p. 107529 , 2022
Link:
https://doi.org/10.1016/..
?
4
TCRconv: predicting recognition between T cell receptors an..:
Jokinen, Emmi
;
Dumitrescu, Alexandru
;
Huuhtanen, Jani
...
Bioinformatics. 39 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1093/..
?
5
Human-in-the-loop assisted de novo molecular design:
Sundin, Iiris
;
Voronov, Alexey
;
Xiao, Haoping
...
Journal of Cheminformatics. 14 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/..
?
6
Modeling binding specificities of transcription factor pair..:
Antikainen, Anni A.
;
Heinonen, Markus
;
Lähdesmäki, Harri
BMC Bioinformatics. 23 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1186/..
?
7
Predicting recognition between T cell receptors and epitope..:
Jokinen, Emmi
;
Huuhtanen, Jani
;
Mustjoki, Satu
...
PLOS Computational Biology. 17 (2021) 3 - p. e1008814 , 2021
Link:
https://doi.org/10.1371/..
?
8
Prediction and impact of personalized donation intervals:
Toivonen, Jarkko
;
Koski, Yrjö
;
Turkulainen, Esa
...
Vox Sanguinis. 117 (2021) 4 - p. 504-512 , 2021
Link:
https://doi.org/10.1111/..
?
9
Substrate specificity of 2-deoxy-D-ribose 5-phosphate aldol..:
Voutilainen, Sanni
;
Heinonen, Markus
;
Andberg, Martina
...
Applied Microbiology and Biotechnology. 104 (2020) 24 - p. 10515-10529 , 2020
Link:
https://doi.org/10.1007/..
?
10
Deep Convolutional Gaussian Processes:
, In:
Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science
,
Blomqvist, Kenneth
;
Kaski, Samuel
;
Heinonen, Markus
- p. 582-597 , 2020
Link:
https://doi.org/10.1007/..
?
11
Bayesian metabolic flux analysis reveals intracellular flux..:
Heinonen, Markus
;
Osmala, Maria
;
Mannerström, Henrik
...
Bioinformatics. 35 (2019) 14 - p. i548-i557 , 2019
Link:
https://doi.org/10.1093/..
?
12
Learning with multiple pairwise kernels for drug bioactivit..:
Cichonska, Anna
;
Pahikkala, Tapio
;
Szedmak, Sandor
...
Bioinformatics. 34 (2018) 13 - p. i509-i518 , 2018
Link:
https://doi.org/10.1093/..
?
13
Temporal clustering analysis of endothelial cell gene expre..:
Heinonen, Markus
;
Milliat, Fabien
;
Benadjaoud, Mohamed Amine
...
PLOS ONE. 13 (2018) 10 - p. e0204960 , 2018
Link:
https://doi.org/10.1371/..
?
14
Flex ddG: Rosetta Ensemble-Based Estimation of Changes in P..:
Barlow, Kyle A.
;
Ó Conchúir, Shane
;
Thompson, Samuel
...
The Journal of Physical Chemistry B. 122 (2018) 21 - p. 5389-5399 , 2018
Link:
https://doi.org/10.1021/..
?
15
mGPfusion: predicting protein stability changes with Gaussi..:
Jokinen, Emmi
;
Heinonen, Markus
;
Lähdesmäki, Harri
Bioinformatics. 34 (2018) 13 - p. i274-i283 , 2018
Link:
https://doi.org/10.1093/..
1-15