Esa Pitkänen - researchr alias

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Viewing Publication 1 - 17 from 17

2024

A Unified Review of Deep Learning for Automated Medical CodingShaoxiong Ji, Xiaobo Li 0007, Wei Sun 0046, Hang Dong 0002, Ara Taalas, Yijia Zhang 0001, Honghan Wu, Esa Pitkänen, Pekka Marttinen. ACM Comput. Surv., 56(12), December 2024. [doi]

2022

Identification of multiplicatively acting modulatory mutational signatures in cancerDovydas Kiciatovas, Qingli Guo, Miika Kailas, Henri Pesonen, Jukka Corander, Samuel Kaski, Esa Pitkänen, Ville Mustonen. bmcbi, 23(1):522, 2022. [doi]

2021

Comparative analysis of molecular fingerprints in prediction of drug combination effectsBulat Zagidullin, Ziyan Wang, Yuanfang Guan, Esa Pitkänen, Jing Tang 0002. bib, 22(6), 2021. [doi]

2018

Towards pan-genome read alignment to improve variation callingDaniel Valenzuela 0001, Tuukka Norri, Niko Välimäki, Esa Pitkänen, Veli Mäkinen. bmcgenomics, 19(S2), 2018. [doi]

2014

Comparative Genome-Scale Reconstruction of Gapless Metabolic Networks for Present and Ancestral SpeciesEsa Pitkänen, Paula Jouhten, Jian Hou, Muhammad Fahad Syed, Peter Blomberg, Jana Kludas, Merja Oja, Liisa Holm, Merja Penttilä, Juho Rousu, Mikko Arvas. ploscb, 10(2), 2014. [doi]

2011

Reconstructing Gapless Ancestral Metabolic NetworksEsa Pitkänen, Mikko Arvas, Juho Rousu. biostec 2013: 126-140 [doi]

Minimum Mutation Algorithm for Gapless Metabolic Network EvolutionEsa Pitkänen, Juho Rousu, Mikko Arvas. biostec 2011: 28-38

2010

Structured Output Prediction of Novel Enzyme Function with Reaction KernelsKatja Astikainen, Liisa Holm, Esa Pitkänen, Sándor Szedmak, Juho Rousu. biostec 2011: 367-379 [doi]

Reaction Kernels - Structured Output Prediction Approaches for Novel Enzyme FunctionKatja Astikainen, Esa Pitkänen, Juho Rousu, Liisa Holm, Sándor Szedmák. biostec 2010: 48-55

Computational Methods for Reconstruction and Analysis of Genome-Scale Metabolic NetworksEsa Pitkänen. PhD thesis, University of Helsinki, Finland, 2010. [doi]

2009

13C-metabolic flux ratio and novel carbon path analyses confirmed that Trichoderma reesei uses primarily the respirative pathway also on the preferred carbon source glucosePaula Jouhten, Esa Pitkänen, Tiina Pakula, Markku Saloheimo, Merja Penttilä, Hannu Maaheimo. bmcsb, 3:104, 2009. [doi]

Inferring branching pathways in genome-scale metabolic networksEsa Pitkänen, Paula Jouhten, Juho Rousu. bmcsb, 3:103, 2009. [doi]

2008

ReMatch: a web-based tool to construct, store and share stoichiometric metabolic models with carbon maps for metabolic flux analysisEsa Pitkänen, Arto Åkerlund, Ari Rantanen, Paula Jouhten, Esko Ukkonen. jib, 5(2), 2008. [doi]

A Computational Method for Reconstructing Gapless Metabolic NetworksEsa Pitkänen, Ari Rantanen, Juho Rousu, Esko Ukkonen. bird 2008: 288-302 [doi]

2006

Equivalence of Metabolite Fragments and Flow Analysis of Isotopomer Distributions for Flux EstimationAri Rantanen, Hannu Maaheimo, Esa Pitkänen, Juho Rousu, Esko Ukkonen. TCSB, :198-220, 2006. [doi]

2005

Finding Feasible Pathways in Metabolic NetworksEsa Pitkänen, Ari Rantanen, Juho Rousu, Esko Ukkonen. pci 2005: 123-133 [doi]

2003

A Method for Estimating Metabolic Fluxes from Incomplete Isotopomer InformationJuho Rousu, Ari Rantanen, Hannu Maaheimo, Esa Pitkänen, Katja Saarela, Esko Ukkonen. cmsb 2003: 88-103 [doi]

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