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BMC Bioinformatics, ISSN 1471-2105, 03/2011, Volume 12, Issue 1, pp. 77 - 77
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are... 
Computational Biology - methods | Confidence Intervals | Data Interpretation, Statistical | Humans | Biomarkers - analysis | Programming Languages | ROC Curve | Software | Confidence intervals | Usage | Public software | Mathematical statistics | Analysis | Science | Research | Computer programs | Studies | User interface | Biomarkers | Data mining | Bioinformatics | Manuscripts | Programming languages | Methods
Journal Article
Intensive Care Medicine, ISSN 0342-4642, 1/2010, Volume 36, Issue 1, pp. 107 - 115
Journal Article
by Lefevre, Michael and Molina, Henrik and Mehrle, Alexander and Jung, Peter and Muddiman, David C and Hochstrasser, Denis F and Nalli, Anuradha and Mann, Matthias and Zhou, Ming and Fenselau, Catherine and Cagney, Gerard and DeSouza, Leroi V and Sirdeshmukh, Ravi and Björling, Erik and Pepperkok, Rainer and Rice, Robert H and Zurbig, Petra and Chaerkady, Raghothama and Purvine, Samuel O and Pandey, Akhilesh and Sullivan, Matthew and Balgley, Brian M and Bantscheff, Marcus and Figeys, Daniel and Michael Siu, K W and Vidal-Taboada, José-Manuel and Gimble, Jeffrey M and Hjernø, Karin and Cantin, Greg T and Hanash, Samir M and Petricoin, Emanuel F and Crockett, David and Dunn, Michael J and Lim, Megan S and Drewes, Gerard and Gromov, Pavel and Costello, Catherine E and Deutsch, Eric W and Gnad, Florian and Takatalo, Maarit and Alexandre, Hainard and Celis, Julio E and Vihinen, Mauno and Morgan, James D and Andrews, Philip C and Ahn, Natalie G and Korf, Ulrike and Kwon, Min-Seok and James, Peter and Wiemann, Stefan and Veenstra, Timothy D and Helsens, Kenny and Menon, Rajasree and Sheng, Shi Jun and Gelfi, Cecilia and Kheterpal, Indu and Lee, Young-Jin and Zhu, Yunping and Chu, Feixia and Mathivanan, Suresh and Horn, David M and Bennett, Keiryn L and Hofmann, Oliver and Pennington, Kyla and Ramachandran, Prasanna and Jensen, Pia Hønnerup and Löbke, Christian and Zhong, Jun and Moritz, Robert and Loo, Joseph A and Ohara, Osamu and Martinez-Heredia, Juan and Seshi, Beerelli and Hancock, William S and Simpson, Richard J and Shivakumar, K and Neubert, Thomas A and Goel, Renu and Rick, Jens and Ewing, Rob M and Sayd, Thierry and Oliva, Rafael and Thongboonkerd, Visith and Bustelo, Xosé R and Sanchez, Jean-Charles and De Marzo, Angelo M and Dransfield, Eric and Paik, Young-Ki and Hruban, Ralph H and Harsha, HC and He, Fuchu and Fang, Xiangming and Amanchy, Ramars and Hermeking, Heiko and Gagné, Pierre and Kikuno, Reiko F and Smith, Jeffrey C and Xu, Tao and Oyama, Masaaki and Gevaert, Kris and ... and Pacific Northwest National Lab. (PNNL), Richland, WA (United States) and Skolan för bioteknologi (BIO) and KTH and Proteomik (stängd 20130101)
Nature Biotechnology, ISSN 1087-0156, 02/2008, Volume 26, Issue 2, pp. 164 - 167
Journal Article
PLoS ONE, ISSN 1932-6203, 07/2012, Volume 7, Issue 7, p. e40909
Background: Sleeping sickness, or human African trypanosomiasis (HAT), is a protozoan disease that affects rural communities in sub-Saharan Africa.... 
BIOMARKERS | NERVOUS-SYSTEM INVOLVEMENT | FIELD DIAGNOSIS | ACTIVATION | HUMAN AFRICAN TRYPANOSOMIASIS | MULTIDISCIPLINARY SCIENCES | FOLLOW-UP | IGM | DIAGNOSTIC-ACCURACY | Reproducibility of Results | Neopterin - cerebrospinal fluid | Meningoencephalitis - cerebrospinal fluid | Meningoencephalitis - parasitology | Humans | Male | Trypanosomiasis, African - parasitology | Immunoglobulin M - cerebrospinal fluid | Trypanosomiasis, African - blood | Adult | Female | Leukocyte Count | Biomarkers - cerebrospinal fluid | Trypanosomiasis, African - cerebrospinal fluid | Cohort Studies | Trypanosoma brucei gambiense - physiology | Medicine, Experimental | Medical research | Care and treatment | Trypanosomiasis | Blood cell count | Immunoglobulin M | Vascular cell adhesion molecule 1 | Rural communities | CXCL13 protein | Erythrocytes | Nervous system | Infections | Cerebrospinal fluid | Parasites | Leukocytes | Veterinary medicine | Proteins | Acquired immune deficiency syndrome--AIDS | Parasitic diseases | Human immunodeficiency virus--HIV | Bioindicators | African trypanosomiasis | Vector-borne diseases | Parasitology | Cytokines | Intercellular adhesion molecule 1 | Rural areas | Medical treatment | Blood cells | Patients | Gelatinase B | White blood cells | Tuberculosis | CXCL10 protein | Proteomics | Biomarkers | Diagnostic systems | Neopterin | Biological Markers | Trypanosomiasis, African | Trypanosoma brucei gambiense | Meningoencephalitis | Life Sciences | Santé publique et épidémiologie | Acquired immune deficiency syndrome | AIDS | HIV | Human immunodeficiency virus
Journal Article
BioMed Research International, ISSN 2314-6133, 11/2019, Volume 2019, pp. 1 - 9
Human African Trypanosomiasis may become manageable in the next decade with fexinidazole. However, currently stage diagnosis remains difficult to implement in... 
Life Sciences | Santé publique et épidémiologie
Journal Article
Journal of Proteome Research, ISSN 1535-3893, 06/2011, Volume 10, Issue 6, pp. 2758 - 2766
Quantitative comparison of the protein content of biological samples is a fundamental tool of research. The TMT and iTRAQ isobaric labeling technologies allow... 
iTRAQ | TMT | quantitative proteomics | bioinformatics | statistics | MASS-SPECTROMETRY DATA | QUANTIFICATION | STRATEGY | BIOCHEMICAL RESEARCH METHODS | IDENTIFICATION | MIXTURES | PEPTIDES | TOOL | REVEALS | Data Interpretation, Statistical | Algorithms | Animals | Ceruloplasmin - chemistry | Humans | Rats | Mice | Software | Blood Proteins - chemistry | Models, Statistical | Proteomics - methods
Journal Article
PLoS Neglected Tropical Diseases, ISSN 1935-2727, 2013, Volume 7, Issue 2, p. e2088
Journal Article