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

: https://orcid.org/0000-0002-7016-7354

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Intra-Tissue Steroid Profiling Indicates Differential Progesterone and Testosterone Metabolism in the Endometrium and Endometriosis Lesions (2014)
- Journal of Clinical Endocrinology and Metabolism
Huhtinen K, Saloniemi-Heinonen T, Keski-Rahkonen P, Desai R, Laajala D, Ståhle M, Häkkinen M, Laajala D, Suvitie P, Awosanya M, Aittokallio T, Handelsman D, Auriola S, Perheentupa A, Poutanen M.
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.
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
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
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
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