Daniel Laajala - UTU Research Portal

Daniel Laajala

- Docent,
Applied mathematics (Department of Mathematics and Statistics)

teelaa@utu.fi

+358 29 450 3805

Vesilinnantie 5

Turku

ORCID identifier: https://orcid.org/0000-0002-7016-7354(external)

Publications

3 of 3

Novel Lignan and Stilbenoid Mixture Shows Anticarcinogenic Efficacy in Preclinical PC-3M-luc2 Prostate Cancer Model (2014)
- PLoS ONE
Yatkin E, Polari L, Laajala TD, Smeds A, Eckerman C, Holmbom B, Saarinen N, Aittokallio T, Mäkelä S.
(A1 Refereed original research article in a scientific journal)
Ovarian Endometriosis Signatures Established through Discovery and Directed Mass Spectrometry Analysis (2014)
- Journal of Proteome Research
Vehmas AP, Muth-Pawlak D, Huhtinen K, Saloniemi-Heinonen T, Jaakkola K, Laajala TD, Kaprio H, Suvitie PA, Aittokallio T, Siitari H, Perheentupa A, Poutanen M, Corthals GL
(A1 Refereed original research article in a scientific journal)
Improved Statistical Modeling of Tumor Growth and Treatment Effect in Preclinical Animal Studies with Highly Heterogeneous Responses In Vivo (2012)
- Clinical Cancer Research
Laajala TD, Corander J, Saarinen NM, Makela K, Savolainen S, Suominen MI, Alhoniemi E, Makela S, Poutanen M, Aittokallio T
(A1 Refereed original research article in a scientific journal)
Optimizing Detection of Transcription Factor-Binding Sites in ChIP-seq Experiments (2012)
- Nucleic Acids Research
Deep Sequencing Data Analysis Elo LL, Kallio A, Laajala TD, Hawkins RD, Korpelainen E, Aittokallio T
(A1 Refereed original research article in a scientific journal)
A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments (2009)
- BMC Genomics
Laajala TD, Raghav S, Tuomela S, Lahesmaa R, Aittokallio T, Elo LL
(A1 Refereed original research article in a scientific journal)