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 Julkaisujen tiedon ikoni

Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy

Vertaisarvioitu
Avoin saatavuus
DOI
10.1158/2159-8290.CD-20-0818
Iyer Sonia, Zhang Shuang, Yucel Simge, Horn Heiko, Smith Sean G, Reinhardt Ferenc, Hoefsmit Esmee, A...
Cancer discovery2021 Julkaisujen tiedon ikoni

Animal inflammation-based models of depression and their application to drug discovery

Vertaisarvioitu
DOI
10.1080/17460441.2017.1362385
Ma, Li; Demin, Konstantin A.; Kolesnikova, Tatyana O.; Kharsko, Sergey L.; Zhu, Xiaokang; Yuan, Xiao...
Expert opinion on drug discovery2017 Julkaisujen tiedon ikoni

Molecular Modelling Approaches to Antibacterial Drug Design and Discovery

DOI
10.2174/97816810856231180701
Kaczor, Agnieszka A; Medarametla, Prasanthi; Bartuzi, Damian; Kondej, Magdalena; Matosiuk, Dariusz; ...
Frontiers in Anti-Infective Drug Discovery2018 Julkaisujen tiedon ikoni

Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery

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DOI
10.1080/17460441.2018.1413089
Ravikumar, Balaguru; Aittokallio, Tero
Expert opinion on drug discovery2018 Julkaisujen tiedon ikoni

What are the current challenges for machine learning in drug discovery and repurposing?

DOI
10.1080/17460441.2022.2050694
Aittokallio, Tero
Expert opinion on drug discovery2022 Julkaisujen tiedon ikoni

High-throughput screening for drug discovery targeting the cancer cell-microenvironment interactions in hematological cancers

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Avoin saatavuus
DOI
10.1080/17460441.2022.1991306
Giri, Anil K.; Ianevski, Aleksander
Expert opinion on drug discovery2022 Julkaisujen tiedon ikoni

Jaccard-Constrained Dense Subgraph Discovery

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Avoin saatavuus
DOI
10.1007/978-3-031-45275-8_34
Wickrama Arachchi, Wickrama Arachchige Chamalee Nisansala; Tatti, Nikolaj
Lecture Notes in Computer Science (LNCS)2023 Julkaisujen tiedon ikoni

Deep Bayesian Experimental Design for Drug Discovery

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Avoin saatavuus
DOI
10.1007/978-3-031-72381-0_12
Masood, Muhammad Arslan; Cui, Tianyu; Kaski, Samuel
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and ...2024 Julkaisujen tiedon ikoni

Discovery of Novel Term Associations in a Document Collection

Avoin saatavuus
DOI
10.1007/978-3-642-31830-6_7
Hynönen, Teemu; Mahler, Sebastien Jean; Toivonen, Hannu
Springer-Verlag2012 Julkaisujen tiedon ikoni

Self-discovery enabling entrepreneurial discovery processes

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Avoin saatavuus
DOI
10.4324/9781351273763-2
Virkkala, Seija; Mariussen, Åge
Routledge2019

Genetically defined syngeneic mouse models of ovarian cancer as tools for the discovery of combination immunotherapy

Vertaisarvioitu
Avoin saatavuus
DOI
10.1158/2159-8290.CD-20-0818
2021

Animal inflammation-based models of depression and their application to drug discovery

Vertaisarvioitu
DOI
10.1080/17460441.2017.1362385
2017

Molecular Modelling Approaches to Antibacterial Drug Design and Discovery

DOI
10.2174/97816810856231180701
2018

Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery

Vertaisarvioitu
Avoin saatavuus
DOI
10.1080/17460441.2018.1413089
2018

What are the current challenges for machine learning in drug discovery and repurposing?

DOI
10.1080/17460441.2022.2050694
2022

High-throughput screening for drug discovery targeting the cancer cell-microenvironment interactions in hematological cancers

Vertaisarvioitu
Avoin saatavuus
DOI
10.1080/17460441.2022.1991306
2022

Jaccard-Constrained Dense Subgraph Discovery

Vertaisarvioitu
Avoin saatavuus
DOI
10.1007/978-3-031-45275-8_34
2023

Deep Bayesian Experimental Design for Drug Discovery

Vertaisarvioitu
Avoin saatavuus
DOI
10.1007/978-3-031-72381-0_12
2024

Discovery of Novel Term Associations in a Document Collection

Avoin saatavuus
DOI
10.1007/978-3-642-31830-6_7
2012

Self-discovery enabling entrepreneurial discovery processes

Vertaisarvioitu
Avoin saatavuus
DOI
10.4324/9781351273763-2
2019