Additional file 3: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Additional file 3: of Evidence-based practice profiles among bachelor students in four health disciplines: a cross-sectional study

Anne SnibsĂ¸er (5750222)
Birgitte Graverholt (3459815)
Monica Nortvedt (3598073)
Trond Riise (642743)
Birgitte Espehaug (727070)

September 2018

Estimated differences in mean EBP2-N domain scores between health disciplines (nâ=â707). The tab...

Additional file 3: Table S2. of A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data

Panpan Wang (228835)
Mohammad Rahman (2386750)
Li Jin (40265)
Momiao Xiong (86978)

November 2016

P-values for the path coefficient, mariginal effects of single trait and multiple traits, and minimu...

Additional file 3: Table S2. of Molecular essence and endocrine responsiveness of estrogen receptor-negative, progesterone receptor-positive, and HER2-negative breast cancer

Ke-Da Yu (166128)
Yi-Zhou Jiang (496805)
Shuang Hao (759745)
Zhi-Ming Shao (87153)

October 2015

Genes and probe sets used to characterize subgroups within ERâ/PgR+/HER2â phenotype. (DOC 40 kb

Additional file 4: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ opinion regarding the study curriculum and their future plans in pharmacogenomicsâthe ...

Additional file 5: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ opinion regarding the study curriculum and their future plans in pharmacogenomicsâthe ...

Additional file 2: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ awareness about pharmacogenomicsâthe table represents p values calculated with chi-squ...

Additional file 6: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ awareness and opinion regarding the ethical, legal, and social issuesâthe table repres...

Additional file 3: of Awareness, knowledge, perceptions, and attitudes towards genetic testing for cancer risk among ethnic minority groups: a systematic review

Katie Hann (4048705)
Madeleine Freeman (4048708)
Lindsay Fraser (4048702)
Jo Waller (3214623)
Saskia Sanderson (3444704)
Belinda Rahman (4048699)
Lucy Side (547051)
Sue Gessler (4048696)
Anne Lanceley (3528989)

May 2017

Rank order of included studies based on quality assessment. The table presents the quality assessmen...

Additional file 1: Table A1. of Knowledge, attitudes, and values among physicians working with clinical genomics: a survey of medical oncologists

Peter Chow-White (4177078)
Dung Ha (362322)
Janessa Laskin (709288)

June 2017

Stakeholders responsible for updating physicians about genomics. Table A2 Goals in partnering with P...

Additional file 3: of Is the undergraduate microbiology curriculum preparing students for careers in their field?: an assessment of biology majorsâ conceptions of growth and control of microorganisms

Aakanksha Sawant (5874794)
Swapnaja Patil (5874797)
Jyotsna Vijapurkar (5874800)
Needa Bagban (5874803)
Deepti Gupta (257374)

October 2018

Table S1. Categorization of questions based on revised Bloomâs taxonomy. (PDF 185Â kb

Additional file 3: of University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2Â years of school

Daniel Barker (272779)
Rosanna Alderson (3761269)
James McDonagh (3761284)
Heleen Plaisier (3761278)
Muriel M. Comrie (3761266)
Leigh Duncan (3761275)
Gavin Muirhead (3761281)
Stuart Sweeney (3761272)

October 2015

Data from questionnaires (LibreOffice Calc spreadsheet). For details of contents, see the âNotesâ...

Additional file 3: of From somatic variants towards precision oncology: Evidence-driven reporting of treatment options in molecular tumor boards

Júlia Perera-Bel (4968799)
Barbara Hutter (420459)
Christoph Heining (4968805)
Annalen Bleckmann (318840)
Martina Fröhlich (2186257)
Stefan Fröhling (4968802)
Hanno Glimm (200902)
Benedikt Brors (14082)
Tim Beißbarth (31587)

March 2018

Percentage of patients of the top ten biomarkers at each level of evidence in each tumor type. Level...

Additional file 3: of Connecting genetics and gene expression data for target prioritisation and drug repositioning

Enrico Ferrero (298671)
Pankaj Agarwal (191011)

May 2018

Table S3. Drug repositioning hypotheses based on the significance of the overlap between genes genet...

Additional file 1: Table S1. of The impact of direct-to-consumer personal genomic testing on perceived risk of breast, prostate, colorectal, and lung cancer: findings from the PGen study

Deanna Carere (3548333)
Tyler VanderWeele (3548336)
Tanya Moreno (3548339)
Joanna Mountain (246855)
J. Roberts (2845100)
Peter Kraft (15118)
Robert Green (370489)

October 2015

SNPs included in commercial personal genomic testing panels for cancer risk assessment in July 2012....

Additional file 3: of Conceptions of learning factors in postgraduate health sciences master students: a comparative study with non-health science students and between genders

Fernando Campos (2405710)
Miguel Sola (5350742)
Antonio Santisteban-Espejo (5350748)
Ariane Ruyffelaert (5350739)
Antonio Campos-Sánchez (5350745)
Ingrid Garzón (293459)
Víctor Carriel (5350751)
Juan de Dios Luna-Del-Castillo (5350754)
Miguel Martin-Piedra (5350757)
Miguel Alaminos (269534)

June 2018

Table S3. Average ± standard deviation scores assigned to each item and to each factor for male and ...

Additional file 3: of Evidence-based practice profiles among bachelor students in four health disciplines: a cross-sectional study

Anne SnibsĂ¸er (5750222)
Birgitte Graverholt (3459815)
Monica Nortvedt (3598073)
Trond Riise (642743)
Birgitte Espehaug (727070)

September 2018

Estimated differences in mean EBP2-N domain scores between health disciplines (nâ=â707). The tab...

Additional file 3: Table S2. of A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data

Panpan Wang (228835)
Mohammad Rahman (2386750)
Li Jin (40265)
Momiao Xiong (86978)

November 2016

P-values for the path coefficient, mariginal effects of single trait and multiple traits, and minimu...

Additional file 3: Table S2. of Molecular essence and endocrine responsiveness of estrogen receptor-negative, progesterone receptor-positive, and HER2-negative breast cancer

Ke-Da Yu (166128)
Yi-Zhou Jiang (496805)
Shuang Hao (759745)
Zhi-Ming Shao (87153)

October 2015

Genes and probe sets used to characterize subgroups within ERâ/PgR+/HER2â phenotype. (DOC 40 kb

Additional file 4: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ opinion regarding the study curriculum and their future plans in pharmacogenomicsâthe ...

Additional file 5: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ opinion regarding the study curriculum and their future plans in pharmacogenomicsâthe ...

Additional file 2: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ awareness about pharmacogenomicsâthe table represents p values calculated with chi-squ...

Additional file 6: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Lejla Mahmutovic (5961452)
Betul Akcesme (5961455)
Camil Durakovic (5961458)
Faruk Akcesme (5961461)
Aida Maric (5961464)
Muhamed Adilovic (5961467)
Nour Hamad (5961470)
Matthias Wjst (56613)
Oliver Feeney (5961473)
Sabina Semiz (5961476)

November 2018

Studentsâ awareness and opinion regarding the ethical, legal, and social issuesâthe table repres...

Additional file 3: of Awareness, knowledge, perceptions, and attitudes towards genetic testing for cancer risk among ethnic minority groups: a systematic review

Katie Hann (4048705)
Madeleine Freeman (4048708)
Lindsay Fraser (4048702)
Jo Waller (3214623)
Saskia Sanderson (3444704)
Belinda Rahman (4048699)
Lucy Side (547051)
Sue Gessler (4048696)
Anne Lanceley (3528989)

May 2017

Rank order of included studies based on quality assessment. The table presents the quality assessmen...

Additional file 1: Table A1. of Knowledge, attitudes, and values among physicians working with clinical genomics: a survey of medical oncologists

Peter Chow-White (4177078)
Dung Ha (362322)
Janessa Laskin (709288)

June 2017

Stakeholders responsible for updating physicians about genomics. Table A2 Goals in partnering with P...

Additional file 3: of Is the undergraduate microbiology curriculum preparing students for careers in their field?: an assessment of biology majorsâ conceptions of growth and control of microorganisms

Aakanksha Sawant (5874794)
Swapnaja Patil (5874797)
Jyotsna Vijapurkar (5874800)
Needa Bagban (5874803)
Deepti Gupta (257374)

October 2018

Table S1. Categorization of questions based on revised Bloomâs taxonomy. (PDF 185Â kb

Additional file 3: of University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2Â years of school

Daniel Barker (272779)
Rosanna Alderson (3761269)
James McDonagh (3761284)
Heleen Plaisier (3761278)
Muriel M. Comrie (3761266)
Leigh Duncan (3761275)
Gavin Muirhead (3761281)
Stuart Sweeney (3761272)

October 2015

Data from questionnaires (LibreOffice Calc spreadsheet). For details of contents, see the âNotesâ...

Additional file 3: of From somatic variants towards precision oncology: Evidence-driven reporting of treatment options in molecular tumor boards

Júlia Perera-Bel (4968799)
Barbara Hutter (420459)
Christoph Heining (4968805)
Annalen Bleckmann (318840)
Martina Fröhlich (2186257)
Stefan Fröhling (4968802)
Hanno Glimm (200902)
Benedikt Brors (14082)
Tim Beißbarth (31587)

March 2018

Percentage of patients of the top ten biomarkers at each level of evidence in each tumor type. Level...

Additional file 3: of Connecting genetics and gene expression data for target prioritisation and drug repositioning

Enrico Ferrero (298671)
Pankaj Agarwal (191011)

May 2018

Table S3. Drug repositioning hypotheses based on the significance of the overlap between genes genet...

Additional file 1: Table S1. of The impact of direct-to-consumer personal genomic testing on perceived risk of breast, prostate, colorectal, and lung cancer: findings from the PGen study

Deanna Carere (3548333)
Tyler VanderWeele (3548336)
Tanya Moreno (3548339)
Joanna Mountain (246855)
J. Roberts (2845100)
Peter Kraft (15118)
Robert Green (370489)

October 2015

SNPs included in commercial personal genomic testing panels for cancer risk assessment in July 2012....

Additional file 3: of Conceptions of learning factors in postgraduate health sciences master students: a comparative study with non-health science students and between genders

Fernando Campos (2405710)
Miguel Sola (5350742)
Antonio Santisteban-Espejo (5350748)
Ariane Ruyffelaert (5350739)
Antonio Campos-Sánchez (5350745)
Ingrid Garzón (293459)
Víctor Carriel (5350751)
Juan de Dios Luna-Del-Castillo (5350754)
Miguel Martin-Piedra (5350757)
Miguel Alaminos (269534)

June 2018

Table S3. Average ± standard deviation scores assigned to each item and to each factor for male and ...

Additional file 3: of Evidence-based practice profiles among bachelor students in four health disciplines: a cross-sectional study

Anne SnibsĂ¸er (5750222)
Birgitte Graverholt (3459815)
Monica Nortvedt (3598073)
Trond Riise (642743)
Birgitte Espehaug (727070)

September 2018

Estimated differences in mean EBP2-N domain scores between health disciplines (nâ=â707). The tab...

Additional file 3: Table S2. of A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data

Panpan Wang (228835)
Mohammad Rahman (2386750)
Li Jin (40265)
Momiao Xiong (86978)

November 2016

P-values for the path coefficient, mariginal effects of single trait and multiple traits, and minimu...

Additional file 3: Table S2. of Molecular essence and endocrine responsiveness of estrogen receptor-negative, progesterone receptor-positive, and HER2-negative breast cancer

Ke-Da Yu (166128)
Yi-Zhou Jiang (496805)
Shuang Hao (759745)
Zhi-Ming Shao (87153)

October 2015

Genes and probe sets used to characterize subgroups within ERâ/PgR+/HER2â phenotype. (DOC 40 kb

Additional file 3: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Abstract

Extracted data

Additional file 3: of Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine

Abstract

Extracted data

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