Radchuk V, Riewe D, Peukert M, Matros A, Strickert M, Radchuk R, Weier D, Steinbiß H-H, Sreenivasulu N, Weschke W, Weber H:

Down-regulated sucrose transporters HvSUT1, HvSUT2 affects sucrose homeostasis along its delivery path in barley grains. J. Exp. Bot. 68 (2017) 4595-4612. https://doi.org/10.1093/jxb/erx266

Lippmann R, Friedel S, Mock H-P, Kumlehn J:

The low molecular weight fraction of compounds released from immature wheat pistils supports barley pollen embryogenesis. Front. Plant Sci. 6 (2015) 498. https://dx.doi.org/10.3389/fpls.2015.00498

Neumann K, Klukas C, Friedel S, Rischbeck P, Chen D, Entzian A, Stein N, Graner A, Kilian B:

Dissecting spatio-temporal biomass accumulation in barley under different water regimes using high-throughput image analysis. Plant Cell Environ. 38 (2015) 1980-1996. https://dx.doi.org/10.1111/pce.12516

Rolletschek H, Fuchs J, Friedel S, Börner A, Todt H, Jakob P, Borisjuk L:

A novel noninvasive procedure for high-throughput screening of major seed traits. Plant Biotechnol. J. 13 (2015) 188-199. https://dx.doi.org/10.1111/pbi.12245

Chen D, Neumann K, Friedel S, Kilian B, Chen M, Altmann T, Klukas C:

Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis. Plant Cell 26 (2014) 4636-4655. https://dx.doi.org/10.1105/tpc.114.129601

Eggeling R, Gohr A, Keilwagen J, Mohr M, Posch S, Smith A D, Grosse I:

On the value of intra-motif dependencies of human insulator protein CTCF. PLoS One 9 (2014) e85629. https://dx.doi.org/10.1371/journal.pone.0085629

Keilwagen J, Kilian B, Özkan H, Babben S, Perovic D, Mayer K F, Walther A, Poskar C H, Ordon F, Eversole K, Börner A, Ganal M, Knüpffer H, Graner A, Friedel S:

Separating the wheat from the chaff - a strategy to utilize plant genetic resources from ex situ genebanks. Sci. Rep. 4 (2014) 5231. https://dx.doi.org/10.1038/srep05231

Aghaeepour N, Finak G, Hoos H, Mosmann T R, Brinkman R R, Gottardo R, Scheuermann R H, Dougall D, Khodabakhshi A H, Mah P, Obermoser G, Spidlen J, Taylor I, Wuensch S A, Bramson J, Eaves C, Weng A P, Fortuno III E S, Ho K, Kollmann T R, Rogers W, de Rosa S, Dalai B, Azad A, Pothen A, Brandes A, Bretschneider H, Bruggner R, Finck R, Jia R, Zimmerman N, Linderman M, Dill D, Nolan G, Chan C, Khettabi F E, ONeill K, Chikina M, Ge Y, Sealfon S, Sugár I, Gupta A, Shooshtari P, Zare H, de Jager P L, Jiang M, Keilwagen J, Maisog J M, Luta G, Barbo A A, Májek P, Vilček J, Manninen T, Huttunen H, Ruusuvuori P, Nykter M, McLachlan G J, Wang K, Naim I, Sharma G, Nikolic R, Pyne S, Qian Y, Qiu P, Quinn J, Roth A, Meyer P, Stolovitzky G, Saez-Rodriguez J, Norel R, Bhattacharjee M, Biehl M, Bucher P, Bunte K, Di Camillo B, Sambo F, Sanavia T, Trifoglio E, Toffolo G, Slavica Dimitrieva S D, Dreos R, Ambrosini G, Grau J, Grosse I, Posch S, Guex N, Kursa M, Rudnicki W, Liu B, Maienschein-Cline M, Schneider P, Seifert M, Strickert M, Vilar J M G:

Critical assessment of automated flow cytometry data analysis techniques. Nat. Methods 10 (2013) 228-238. https://dx.doi.org/10.1038/nmeth.2365

Aliyu O M, Seifert M, Corral J M, Fuchs J, Sharbel T F:

Copy number variation in transcriptionally active regions of sexual and apomictic Boechera demonstrates independently-derived apomictic lineages. Plant Cell 25 (2013) 3808-3823. https://dx.doi.org/10.1105/tpc.113.113860

Grau J, Keilwagen J, Gohr A, Paponov I A, Posch S, Seifert M, Strickert M, Grosse I:

DISPOM: a discriminative de-novo motif discovery tool based on the JSTACS library. J. Bioinform. Comput. Biol. 11 (2013) 1340006. https://dx.doi.org/10.1142/S0219720013400064

Grau J, Posch S, Grosse I, Keilwagen J:

A general approach for discriminative de novo motif discovery from high-throughput data. Nucleic Acids Res. 41 (2013) e197. https://dx.doi.org/10.1093/nar/gkt831

Gruber B D, Giehl R F H, Friedel S, von Wirén N:

Plasticity of the Arabidopsis root system under nutrient deficiencies. Plant Physiol. 163 (2013) 161-179. https://dx.doi.org/10.1104/pp.113.218453

Lermontova I, Kuhlmann M, Friedel S, Rutten T, Heckmann S, Sandmann M, Demidov D, Schubert V, Schubert I:

Arabidopsis KINETOCHORE NULL2 is an upstream component for cenH3 deposition at centromeres. Plant Cell 25 (2013) 3389-3404. https://dx.doi.org/10.1105/tpc.113.114736

Mascher M, Schubert I, Scholz U, Friedel S:

Patterns of nucleotide asymmetries in plant and animal genomes. Biosystems 111 (2013) 181-189. https://dx.doi.org/10.1016/j.biosystems.2013.02.001

Meinel S, Ruhs S, Schumann K, Stratz N, Trenkmann K, Schreier B, Grosse I, Keilwagen J, Gekle M, Grossmann C:

Mineralocorticoid receptor interaction with SP1 generates a new response element for pathophysiologically relevant gene expression. Nucleic Acids Res 41 (2013) 8045-8060. https://dx.doi.org/10.1093/nar/gkt581

Weirauch M T, Cote A, Norel R, Annala M, Zhao Y, Riley T R, Saez-Rodriguez J, Cokelaer T, Vedenko A, Talukder S, Bussemaker H J, Quaid M D, Bulyk M L, Stolovitzky G, Hughes T R, Agius P, Arvey A, Bucher P, Callan Jr. C G, Chang C W, Chen C-Y, Chen Y-S, Chu Y-W, Grau J, Grosse I, Jagannathan V, Keilwagen J, Kiebasa S M, Kinney J B, Klein H, Kursa M B, Lähdesmäki H, Laurila K, Lei C, Leslie C, Linhart C, Murugan A, Myšičková A, Noble W S, Nykter M, Orenstein Y, Posch S, Ruan J, Rudnicki W R, Schmid C D, Shamir R, Sung W-K, Vingron M, Zhang Z:

Evaluation of methods for modeling transcription factor sequence specificity. Nat. Biotechnol. 31 (2013) 126-134. https://dx.doi.org/10.1038/nbt.2486

Friedel S, Usadel B, von Wirén N, Sreenivasulu N:

Reverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk. Front. Plant Sci. 3 (2012) 294. https://dx.doi.org/10.3389/fpls.2012.00294

Grau J, Keilwagen J, Gohr A, Haldemann B, Posch S, Grosse I:

Jstacs: a Java framework for statistical analysis and classification of biological sequences. J. Mach. Learn. Res. 13 (2012) 1967-1971. https://www.jmlr.org/papers/volume13/grau12a/grau12a.pdf

Junker A, Mönke G, Rutten T, Keilwagen J, Seifert M, Thi T M, Renou J P, Balzergue S, Viehover P, Hähnel U, Ludwig-Müller J, Altschmied L, Conrad U, Weisshaar B, Bäumlein H:

Elongation-related functions of LEAFY COTYLEDON1 during the development of Arabidopsis thaliana. Plant J. 71 (2012) 427-442. https://dx.doi.org/10.1111/j.1365-313X.2012.04999.x

Kilian B, Özkan H, Shaaf S, Hübner S, Pasam R K, Sharma R, Neumann K, Weißgerber W, Konovalov F A, Keilwagen J, Friedel S, Knüpffer H, von Korff M, Coupland G, Graner A:

Comparing genetic diversity within a crop and its wild progenitor: a case study for barley. In: Maxted N, Dulloo M E, Ford-Lloyd B V, Frese L, Iriondo J M, Pinheiro de Carvalho M A A (Eds.): Agrobiodiversity conservation: securing the diversity of crop wild relatives and landraces. Wallingford [u.a.]: CABI Publishing (2012) ISBN 978-1-84593-851-2, 186-192.

Meyer R C, Witucka-Wall H, Becher M, Blacha A, Boudichevskaia A, Dörmann P, Fiehn O, Friedel S, von Korff M, Lisec J, Melzer M, Repsilber D, Schmidt R, Scholz M, Selbig J, Willmitzer L, Altmann T:

Heterosis manifestation during early Arabidopsis seedling development is characterized by intermediate gene expression and enhanced metabolic activity in the hybrids. Plant J. 71 (2012) 669-683. https://dx.doi.org/10.1111/j.1365-313X.2012.05021.x

Mönke G, Seifert M, Keilwagen J, Mohr M, Grosse I, Hähnel U, Junker A, Weisshaar B, Conrad U, Bäumlein H, Altschmied L:

Toward the identification and regulation of the Arabidopsis thaliana ABI3 regulon. Nucleic Acids Res. 40 (2012) 8240-8254. https://dx.doi.org/10.1093/nar/gks594

Seifert M, Cortijo S, Colome-Tatche M, Johannes F, Roudier F, Colot V:

MeDIP-HMM: Genome-wide identification of distinct DNA methylation states from high-density tiling arrays. Bioinformatics 28 (2012) 2930-2939. https://dx.doi.org/10.1093/bioinformatics/bts562

Seifert M, Gohr A, Strickert M, Grosse I:

Parsimonious higher-order hidden Markov Models for improved Array-CGH analysis with applications to Arabidopsis thaliana. PLoS Comput. Biol. 8 (2012) e1002286. https://dx.doi.org/10.1371/journal.pcbi.1002286

Thiel J, Riewe D, Rutten T, Melzer M, Friedel S, Bollenbeck F, Weschke W, Weber H:

Differentiation of endosperm transfer cells of barley - a comprehensive analysis at the micro-scale. Plant J. 71 (2012) 639-655. https://dx.doi.org/10.1111/j.1365-313X.2012.05018.x

Banaei Moghaddam A M, Roudier F, Seifert M, Berard C, Magniette M L, Karimi Ashtiyani R, Houben A, Colot V, Mette M F:

Additive inheritance of histone modifications in Arabidopsis thaliana intra-specific hybrids. Plant J. 67 (2011) 691-700. https://dx.doi.org/10.1111/j.1365-313X.2011.04628.x

Hotze M, Friedel S:

dCAIoptimizer: A new tool for advanced codon optimization. www.omnifung.hki-jena.de/Rpad/dCAIoptimizer.Rpad (2011).

Keilwagen J, Grau J, Gohr A, Haldemann B, Seifert M, Mohr M, Posch S, Grosse I:

A Java framework for statistical analysis and classification of biological sequences. www.jstacs.de (2011).

Keilwagen J, Grau J, Paponov I A, Posch S, Strickert M, Grosse I:

Dispom: de-novo discovery of differentially abundant transcription factor binding sites including their positional preference. www.jstacs.de/index.php/Dispom (2011).

Keilwagen J, Grau J, Paponov I A, Posch S, Strickert M, Grosse I:

De-novo discovery of differentially abundant transcription factor binding sites including their positional preference. PLoS Comput. Biol. 7 (2011) e1001070. https://dx.doi.org/10.1371/journal.pcbi.1001070

Seifert M, Strickert M, Schliep A, Grosse I:

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. www.jstacs.de/index.php/DSHMM (2011).

Seifert M, Strickert M, Schliep A, Grosse I:

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. Bioinformatics 27 (2011) 1645-1652. https://dx.doi.org/10.1093/bioinformatics/btr199

Seiler C, Harshavardhan V T, Kalladan R, Reddy P S, Strickert M, Rolletschek H, Scholz U, Wobus U, Sreenivasulu N:

ABA biosynthesis and degradation contributing to ABA homeostasis during barley seed development under control and terminal drought-stress conditions. J. Exp. Bot. 62 (2011) 2615-2632. https://dx.doi.org/10.1093/jxb/erq446

Thiel J, Rolletschek H, Friedel S, Lunn J E, Nguyen T H, Feil R, Tschiersch H, Müller M, Borisjuk L:

Seed-specific elevation of non-symbiotic hemoglobin AtHb1: beneficial effects and underlying molecular networks in Arabidopsis thaliana. BMC Plant Biol. 11 (2011) 48. https://dx.doi.org/10.1186/1471-2229-11-48

Witzel K, Pietsch C, Strickert M, Matros A, Röder M, Weschke W, Wobus U, Mock H-P:

Mapping of quantitative trait loci associated with protein expression variation in barley grains. Mol. Breed. 27 (2011) 301-314. https://dx.doi.org/10.1007/s11032-010-9432-2

Hotze M:

In silico Sequenzoptimierung synthetischer Gene und Zuordnung des Expressionslevels über Transkriptionsanalysen am Beispiel von Candida albicants. (Diploma Thesis) Jena, Friedrich-Schiller-Universität (2010) 133 pp.

Kaleta C, Göhler A, Schuster S, Jahreis K, Guthke R, Nikolajewa S:

Integrative inference of gene-regulatory networks in Escherichia coli using information theoretic concepts and sequence analysis. BMC Syst. Biol. 4 (2010) 116. https://dx.doi.org/10.1186/1752-0509-4-116

Keilwagen J:

Predicting DNA binding sites using generative, discriminative, and hybrid learning principles. (PhD Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg, Naturwissenschaftliche Fakultät III, Institut für Informatik (2010) 131 pp.

Keilwagen J, Grau J, Gohr A, Haldemann B, Seifert M, Mohr M, Posch S, Grosse I:

A Java framework for statistical analysis and classification of biological sequences. www.jstacs.de (2010).

Keilwagen J, Grau J, Posch S, Grosse I:

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis. BMC Bioinformatics 11 (2010) 149. https://dx.doi.org/10.1186/1471-2105-11-149

Keilwagen J, Grau J, Posch S, Strickert M, Grosse I:

Unifying generative and discriminative learning principles. BMC Bioinformatics 11 (2010) 98. https://dx.doi.org/10.1186/1471-2105-11-98

Oppermann M, Keilwagen J, Knüpffer H, Friedel S, Börner A:

Validation, analysis and aggregation of long-term trait observation data of genebank material. In: WEITZMANN, A.L. (ed.), Proceedings of TDWG (2010). Woods Hole, Massachusetts, USA (2010) 52-53. www.vliz.be/imisdocs/publications/215525.pdf (2010).

Posch S, Grau J, Gohr A, Keilwagen J, Grosse I:

Probabilistic approaches to transcription factor binding site prediction. In: Ladunga I (Ed.): Computational biology of transcription factor binding. (Series: Methods in molecular biology, Vol. 674) New York [u.a.]: Humana Press (2010) ISBN 978-1-60761-853-9, 97-119. https://dx.doi.org/10.1007/978-1-60761-854-6_7

Seifert M:

Extensions of Hidden Markov Models for the analysis of DNA microarray data. (PhD Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg, Naturwissenschaftliche Fakultät III, Institut für Informatik (2010) 176 pp.

Sinha R, Lenser T, Jahn N, Gausmann U, Friedel S, Szafranski K, Huse K, Rosenstiel P, Hampe J, Schuster S, Hiller M, Backofen R, Platzer M:

Tandem Splice Site Database, TassDB2. gen100.imb-jena.de/TassDB2/ (2010).

Sinha R, Lenser T, Jahn N, Gausmann U, Friedel S, Szafranski K, Huse K, Rosenstiel P, Hampe J, Schuster S, Hiller M, Backofen R, Platzer M:

TassDB2 - A comprehensive database of subtle alternative splicing events. BMC Bioinformatics 11 (2010) 216. https://dx.doi.org/10.1186/1471-2105-11-216

Sreenivasulu N, Radchuk V, Alawady A, Borisjuk L, Weier D, Staroske N, Fuchs J, Miersch O, Strickert M, Usadel B, Wobus U, Grimm B, Weber H, Weschke W:

De-regulation of abscisic acid contents causes abnormal endosperm development in the barley mutant seg8. Plant J. 64 (2010) 589-603. https://dx.doi.org/10.1111/j.1365-313X.2010.04350.x

Sreenivasulu N, Sunkar R, Wobus U, Strickert M:

Array platforms and bioinformatics tools for the analysis of plant transcriptome in response to abiotic stress. In: Sunkar R (Ed.): Plant stress tolerance: methods and protocols. (Series: Methods in molecular biology, Vol. 639) New York [u.a.]: Humana Press (2010) ISBN 978-1-60761-701-3, 71-93. https://dx.doi.org/10.1007/978-1-60761-702-0_5

Weichert N, Saalbach I, Weichert H, Kohl S, Erban A, Kopka J, Hause B, Varshney A, Sreenivasulu N, Strickert M, Kumlehn J, Weschke W, Weber H:

Increasing sucrose uptake capacity of wheat grains stimulates storage protein synthesis. Plant Physiol. 152 (2010) 698-710. https://dx.doi.org/10.1104/pp.109.150854

Fester T, Schreiber F, Strickert M:

CUDA-based multi-core implementation of MDS-based bioinformatics algorithms. In: German Conference on Bioinformatics 2009: 28 - 30 September 2009, Halle/S., Germany, proceedings (Series: Lecture notes in informatics, Vol. 157) Bonn: Ges. für Informatik (2009) ISBN 978-3-88579-251-2, 67-79.

Keilwagen J, Baumbach J, Kohl T A, Grosse I:

MotifAdjuster: a tool for computational reassessment of transcription factor binding site annotations. Genome Biol. 10 (2009) R46. https://dx.doi.org/10.1186/gb-2009-10-5-r46

Scharfe M:

Erkennung regulatorischer Elemente in orthologen DNA-Sequenzen mit Hilfe von probabilistischen Sampling-Modellen. (Diploma Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg (2009) 115 pp.

Seifert M, Banaei A, Keilwagen J, Mette M F, Houben A, Roudier F, Colot V, Grosse I, Strickert M:

Array-based genome comparison of Arabidopsis ecotypes using hidden Markov Models. In: Encarnação P, Veloso A (Eds.): Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing: Porto, Portugal, January 14 - 17, 2009 [Setúbal]: INSTICC Press (2009) ISBN 978-989-8111-65-4, 3-11.

Seifert M, Keilwagen J, Strickert M, Grosse I:

Utilizing gene pair orientations for HMM-based analysis of promoter array ChIP-chip data. Bioinformatics 25 (2009) 2118-2125. https://dx.doi.org/10.1093/bioinformatics/btp276

Strickert M, Keilwagen J, Schleif F M, Villmann T, Biehl M:

Matrix metric adaptation linear discriminant analysis of biomedical data. In: Cabestany J, Sandoval F, Prieto A, Corchado J M (Eds.): Bio-inspired systems: computational and ambient intelligence: 10th International Work-Conference on Artificial Neural Networks, Salamanca, Spain, June 10-12, 2009; proceedings. (Series: Lecture Notes in Computer Science, Vol. 5517) Berlin [u.a.]: Springer (2009) ISBN 978-3-642-02477-1, 933-940. https://dx.doi.org/10.1007/978-3-642-02478-8_117

Strickert M, Schleif F M, Villmann T, Seiffert U:

Unleashing Pearson correlation for faithful analysis of biomedical data. In: Villmann T, Biehl M M, Hammer B, Verleysen M (Eds.): Similarity-based clustering: Recent developments and biomedical applications. (Series: Lecture Notes in Computer Science, Vol. 5400) Berlin [u.a.]: Springer (2009) ISBN 978-3-642-01804-6, 70-91. https://dx.doi.org/10.1007/978-3-642-01805-3_5

Strickert M, Soto A J, Keilwagen J, Vazquez G E:

Towards matrix-based selection of feature pairs for efficient ADMET prediction. Proceedings of the Xth Argentine Symposium on Artificial Intelligence (ASAI 2009), 24 - 25 August 2009, Mar del Plata, Argentina (2009) 83-94.

Seifert M, Keilwagen J, Strickert M, Grosse I:

Utilizing promoter pair orientations for HMM- based analysis of ChIP-chip data. In: Beyer A, Schroeder M (Eds.): German Conference on Bioinformatics, GCB 2008: 09. - 12.9.2008, Dresden, Germany, proceedings. (Series: Lecture notes in informatics, Vol. 136) Bonn: Ges. für Informatik (2008) ISBN 978-3-88579-230-7, 116-127.

Sreenivasulu N, Pietsch C, Radchuk V V, Strickert M, Röder M, Weschke W, Wobus U:

Regulators determining seed maturation: a genetical genomics approach. In: Molina-Cano J L, Christou P, Graner A, Hammer K, Jouve N, Keller B, Lasa J M, Powell W, Royo C, Shewry P, Stanca A M (Eds.): Cereal science and technology for feeding ten billion people: genomics era and beyond, Proceedings for the Meeting of the Eucarpia Cereal Section, Lleida (Spain), 13.-17.11.2006. (Series: Options Méditerranéennes, Series A, Séminaires Méditerranéens, Vol. 81) Zaragoza: CIHEAM / IRTA (2008) ISBN 2-85352-404-3, 431-434.

Sreenivasulu N, Usadel B, Winter A, Radchuk V, Scholz U, Stein N, Weschke W, Strickert M, Close T J, Stitt M, Graner A, Wobus U:

Barley grain maturation and germination: metabolic pathway and regulatory network commonalities and differences highlighted by New MapMan/PageMan profiling tools. Plant Physiol. 146 (2008) 1738-1758. https://dx.doi.org/10.1104/pp.107.111781

Strickert M, Schleif F-M, Seiffert U:

Gradients of Pearson correlation for analysis of biomedical data In: Proceedings of the 9th Argentine Symposium on Artificial Intelligence (ASAI 2007), 27 - 28 August 2007, Mar del Plata, Argentina: Special Issue of Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, Vol. 12, No. 37. : AEPIA (2008) ISSN 1137-3601, 139-150.

Strickert M, Schleif F-M, Seiffert U, Villmann T:

Derivatives of Pearson correlation for gradient-based analysis of biomedical data. Inteligencia Artificial, Revista Iberoamericana de IA 12 (2008) 37-44.

Strickert M, Schleif F-M, Villmann T:

Metric adaptation for supervised attribute rating. In: Verleysen M (Ed.): Advances in computational intelligence and learning: 16th European Symposium on Artificial Neural Networks, ESANN 2008, Bruges, Belgium, April 23 - 25, 2008, proceedings. Evere: d-side (2008) ISBN 978-2-930307-08-4, 31-36.

Strickert M, Schneider P, Keilwagen J, Villmann T, Biehl M, Hammer B:

Discriminatory data mapping by matrix-based supervised learning metrics. In: Prevost L, Marinai S, Schwenker F (Eds.): Artificial neural networks in pattern recognition: third IAPR workshop, ANNPR 2008, Paris, France, July 2-4, 2008, proceedings (Series: Lecture Notes in Computer Science, Vol. 5064) Berlin [u.a.]: Springer (2008) ISBN 978-3-540-69938-5, 78-89. https://dx.doi.org/10.1007/978-3-540-69939-2_8

Strickert M, Sreenivasulu N, Villmann T, Hammer B:

Robust centroid-based clustering using derivatives of Pearson correlation. In: Encarnacao P, Veloso A (Eds.): Proceedings of the First International Conference on Bio-inspired Systems and Signal Pocessing; Funchal, Madeira, Portugal, January 28 - 31, 2008, Vol. 2. [S.I]: INSTICC Press (2008) ISBN 978-989-8111-18-0, 197-203. https://dx.doi.org/

Strickert M, Witzel K, Keilwagen J, Mock H-P, Schneider P, Biehl M, Villmann T:

Adaptive matrix metrics for attribute dependence analysis in differential high-throughput data. In: Ahdesmäki M, Strimmer K, Radde N, Rahnenführer J, Klemm K, Lähdesmäki H, Yli-Harja O (Eds.): 5th International Workshop on Computational Systems Biology, WCSB 2008, June 11–13, 2008, Leipzig, Germany, proceedings. (TICSP series, Vol. 41) Tampere: Tampere International Center for Signal Processing (2008) ISBN 978-952-15-1988-8, 181-184.

Thiel J, Weier D, Sreenivasulu N, Strickert M, Weichert N, Melzer M, Czauderna T, Wobus U, Weber H, Weschke W:

Different hormonal regulation of cellular differentiation and function in nucellar projection and endosperm transfer cells - a microdissection-based transcriptome study of young barley grains. Plant Physiol. 148 (2008) 1436-1452. https://dx.doi.org/10.1104/pp.108.127001

Ante M:

Datenanalyse von cDNA-Array-Experimenten zur Identifikation möglicher regulatorischer Zielgene des epigenetischen Seneszenz-Kontrollfaktors SUVH2 und der stressabhängigen HIPP-Kernproteine. (Diploma Thesis) Halle/S., Martin-Luther-Universität Halle-Wittenberg (2007) 74 pp.

Hammer B, Hasenfuss A, Rossi F, Strickert M:

Topographic processing of relational data. In: WSOM 2007: 6th International workshop on self-organizing maps; Bielefeld, Germany, September 3-6th 2007; proceedings. (2007) https://dx.doi.org/10.2390/biecoll-wsom2007-121

Hammer B, Hasenfuss A, Schleif F-M, Villmann T, Strickert M:

Intuitive clustering of biological data. In: International Joint Conference on Neural Networks, 2007: IJCNN 2007, 12 - 17 Aug. 2007, Orlando, Florida, USA, proceedings. Piscataway, NJ: IEEE Operations Center (2007) ISBN 978-1-4244-1379-9, 1877-1882.

Strickert M:

High-Throughput Multidimensional Scaling (HiT-MDS-2). hitmds.webhop.net (2007).

Strickert M:

Neural Gas Clustering with Pearson Correlation (NG-C). pgrc-16.ipk-gatersleben.de/~stricker/ng/ (2007).

Strickert M, Schleif F-M, Seiffert U:

Gradients of Pearson correlation for analysis of biomedical data Proceedings of the Argentine Symposium on Artificial Intelligence (ASAI 2007) (2007) 139-150.

Strickert M, Seiffert U:

Nonlinear gene expression analysis. (2007).

Strickert M, Seiffert U:

Correlation-based data representation In: Biehl M, Hammer B, Verleysen M, Villmann T (Eds.): Similarity-based clustering and its application to medicine and biology. (Series: Dagstuhl Seminar Proceedings, Vol. 07131) Wadern: Leibniz-Zentrum für Informatik (2007) Online-Ressource drops.dagstuhl.de/opus/portals/index.php.

Strickert M, Sreenivasulu N, Usadel B, Seiffert U:

Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue. BMC Bioinformatics 8 (2007) 165. https://dx.doi.org/10.1186/1471-2105-8-165

Strickert M, Witzel K, Mock H-P, Schleif F-M, Villmann T:

Supervised attribute relevance determination for protein identification in stress experiments In: Proceedings of the International Workshop on Machine Learning in Systems Biology (MLSB 2007) (2007) 81-86.

Villmann T, Schleif F-M, Merenyi E, Strickert M, Hammer B:

Class imaging of hyperspectral satellite remote sensing data using FLSOM. In: WSOM 2007: 6th International workshop on self-organizing maps; Bielefeld, Germany, September 3-6th 2007; proceedings. (2007) https://dx.doi.org/10.2390/biecoll-wsom2007-110

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