Search for other papers by Bingbing Wang in
Google Scholar
PubMed
Search for other papers by Mayra Cruz Ithier in
Google Scholar
PubMed
Search for other papers by Nataliya Parobchak in
Google Scholar
PubMed
Search for other papers by Stacy M Yadava in
Google Scholar
PubMed
Search for other papers by Jay Schulkin in
Google Scholar
PubMed
Search for other papers by Todd Rosen in
Google Scholar
PubMed
could be perceived as prejudicing the impartiality of the research reported. Funding This study was in part (ChIP-seq and bioinformatics analysis) supported by an NIEHS grant (ES005022) to B W. References 1 Bodnar LM Klebanoff MA
Search for other papers by Linfei Yang in
Google Scholar
PubMed
Search for other papers by Xiao Yu in
Google Scholar
PubMed
European Pancreas Center, Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany
Search for other papers by Yongchao Yang in
Google Scholar
PubMed
bioinformatics tools including BLAST and PathCards ( 36 ). To test this hypothesis in pNEN, Western blot was used to detect the expression of ATX following the downregulation of STAT3 expression. As shown in Fig. 3 , in BON1 cells, the siRNA
The Rappaport Faculty of Medicine, Technion, Haifa, Israel
Search for other papers by Yardena Tenenbaum-Rakover in
Google Scholar
PubMed
Search for other papers by Osnat Admoni in
Google Scholar
PubMed
The Rappaport Faculty of Medicine, Technion, Haifa, Israel
Search for other papers by Ghadir Elias-Assad in
Google Scholar
PubMed
Search for other papers by Shira London in
Google Scholar
PubMed
The Azrieli Faculty of Medicine, Bar-Ilan, Safed, Israel
Search for other papers by Marie Noufi-Barhoum in
Google Scholar
PubMed
Search for other papers by Hanna Ludar in
Google Scholar
PubMed
Search for other papers by Tal Almagor in
Google Scholar
PubMed
Search for other papers by Yoav Zehavi in
Google Scholar
PubMed
Search for other papers by Charles Sultan in
Google Scholar
PubMed
Search for other papers by Rita Bertalan in
Google Scholar
PubMed
Search for other papers by Anu Bashamboo in
Google Scholar
PubMed
Search for other papers by Kenneth McElreavey in
Google Scholar
PubMed
the etiology of DSD in 78% of the cohort, 22% of the patients still remained with no diagnosis. Future directions to improve the accuracy of DSD diagnosis, might include using whole-genome sequencing, and improving bioinformatics methods by using
Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway
Search for other papers by Ivar Følling in
Google Scholar
PubMed
Search for other papers by Anna B Wennerstrøm in
Google Scholar
PubMed
Search for other papers by Tor J Eide in
Google Scholar
PubMed
Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway
Search for other papers by Hilde Loge Nilsen in
Google Scholar
PubMed
QuantStudio7 (Applied Biosystems), otherwise as described for regular PCR. Bioinformatics Gene expression data from pheochromocytoma and paraganglioma (PCPG) are available through the Cancer Genome Atlas (TCGA) Research Network ( https
Search for other papers by Erika Biegelmeyer in
Google Scholar
PubMed
Search for other papers by Iury Scanagata in
Google Scholar
PubMed
Search for other papers by Laura Alves in
Google Scholar
PubMed
Search for other papers by Murilo Reveilleau in
Google Scholar
PubMed
Search for other papers by Fernando Pereira Schwengber in
Google Scholar
PubMed
Search for other papers by Simone Magagnin Wajner in
Google Scholar
PubMed
triiodothyronines predicts worsen neurological outcome of patients with acute ischemic stroke: a retrospective study with bioinformatics analysis . BMC Neurology 2019 19 272. ( https://doi.org/10.1186/s12883-019-1509-x ) 16 Petrone A Mormile F Bruni G
Search for other papers by Li Li in
Google Scholar
PubMed
Search for other papers by Qifa Song in
Google Scholar
PubMed
Search for other papers by Xi Yang in
Google Scholar
PubMed
Karpatne A Kumar V . Introduction to Data Mining , 2nd ed ., Chapter 8. London, UK : Pearson , 2018 . 19 Wilkin GA Huang X . A practical comparison of two K-Means clustering algorithms . BMC Bioinformatics 2008 (Supplement 6) S19
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Anne Jouinot in
Google Scholar
PubMed
Search for other papers by Juliane Lippert in
Google Scholar
PubMed
Comprehensive Cancer Center Mainfranken, University of Wuerzburg, Wuerzburg, Germany
Search for other papers by Martin Fassnacht in
Google Scholar
PubMed
Search for other papers by Bruno de La Villeon in
Google Scholar
PubMed
Search for other papers by Amandine Septier in
Google Scholar
PubMed
Search for other papers by Mario Neou in
Google Scholar
PubMed
Search for other papers by Karine Perlemoine in
Google Scholar
PubMed
Search for other papers by Silke Appenzeller in
Google Scholar
PubMed
Department of Pathology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Mathilde Sibony in
Google Scholar
PubMed
Department of Digestive and Endocrine Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Sébastien Gaujoux in
Google Scholar
PubMed
Department of Digestive and Endocrine Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Bertrand Dousset in
Google Scholar
PubMed
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Rossella Libe in
Google Scholar
PubMed
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Lionel Groussin in
Google Scholar
PubMed
Institute of Metabolism and System Research, University of Birmingham, Birmingham, UK
Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
Search for other papers by Cristina L Ronchi in
Google Scholar
PubMed
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Guillaume Assié in
Google Scholar
PubMed
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France
Search for other papers by Jérôme Bertherat in
Google Scholar
PubMed
bioinformatic and statistical analyses. Manuscript writing was carried out by A J, J L, M F, S A, C L R, G A and J B. All authors contributed to the manuscript revision. Acknowledgements The authors are grateful to Sonja Steinhauer for the expert
Search for other papers by Ling Zhou in
Google Scholar
PubMed
Search for other papers by Zhexin Ni in
Google Scholar
PubMed
Search for other papers by Wen Cheng in
Google Scholar
PubMed
Search for other papers by Jin Yu in
Google Scholar
PubMed
Search for other papers by Shuai Sun in
Google Scholar
PubMed
Search for other papers by Dongxia Zhai in
Google Scholar
PubMed
Search for other papers by Chaoqin Yu in
Google Scholar
PubMed
Search for other papers by Zailong Cai in
Google Scholar
PubMed
clustered using the RDP classifier ( http://rdp.cme.msu.edu/ ) and compared with Silva database (SSU128/16s bacteria) at 70% comparison threshold. Bioinformatics analysis Silva database was selected for comparison with threshold of 70% to obtain the
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Search for other papers by Yuan Zhou in
Google Scholar
PubMed
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Search for other papers by ShengNan Wang in
Google Scholar
PubMed
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Search for other papers by Jing Wu in
Google Scholar
PubMed
Search for other papers by JianJun Dong in
Google Scholar
PubMed
Department of Endocrinology and Metabology, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Ji-nan, China
Search for other papers by Lin Liao in
Google Scholar
PubMed
.3%) duplicates, and (1.1%) all exon deletion. All of these mutations were predicted to be deleterious, analyzed by online bioinformatics tools. Another six mutations were located outside the coding region involving c.1254-1G > C, c.208 + 3A > T, c.46-2A > G, c
Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
Search for other papers by Nidan Qiao in
Google Scholar
PubMed
://doi.org/10.1038/s41584-018-0130-5 ) 30523334 25 Wang L Wang Y Chang Q . Feature selection methods for big data bioinformatics: a survey from the search perspective . Methods 2016 111 . ( https://doi.org/10.1016/j.ymeth.2016.08.014 . 27592382