Documentation about protein clusters and how they are computed in scaffold
https://proteome-software.wikispaces.com/file/view/scaffold_protein_grouping_clustering.pdf
https://proteome-software.wikispaces.com/file/view/Clustering_poster_ASMS_2013.pdf
Sonntag, 18. Dezember 2016
Dienstag, 22. November 2016
GLM
Generalized linear models
University of Cambridge GLM coursehttp://www.statslab.cam.ac.uk/~pat/
http://www.statslab.cam.ac.uk/~pat/All.pdf (covers material in Chapter 3 in depth)
http://data.princeton.edu/wws509/notes
http://data.princeton.edu/wws509/notes/a2.pdf (Chapter 3 in brief)
University of Vienna GLM course
http://statmath.wu.ac.at/courses/heather_turner/ (with R code examples)
How are the likelihood ratio, Wald, and Lagrange multiplier (score) tests different and/or similar?
on binomial and quasibinomial
http://stats.stackexchange.com/questions/91724/what-is-quasi-binomial-distribution-in-the-context-of-glm
Lecture videos of the university of Sheffield.
https://www.youtube.com/playlist?list=PLPmy3Mr9LPPtQF-LeU_0hrhhrpBJ-wKmI
Mixed Linear Models
Mixed effect modelling with R book by Bates
Sonntag, 6. November 2016
Sonntag, 30. Oktober 2016
Go links
https://github.com/ardanlabs/gotraining
Todd — Instructor · 2 months ago Answer
Todd — Instructor · 2 months ago Answer
PRESENTATIONS
GITHUB CODE
COURSE OUTLINE
Montag, 26. September 2016
Math and Stats Videos
Quadratic forms
https://www.youtube.com/watch?v=LGTInfHChzA
Linear Algebra
https://www.youtube.com/playlist?list=PLflMyS1QOtxwiN5oOuyY4W_8fZlTTnRcF
Analysis of discrete data
https://www.youtube.com/playlist?list=PLflMyS1QOtxy_mfqNWpH6hWc7lqgSfKZM
Brian Caffo Playlists
https://www.youtube.com/user/bcaffo/playlists
1) Functions (see in particular videos 5 and 6 on binomial expansions and 9 and 10 on exponentials and logarithms)
https://www.youtube.com/watch? v=71CUgRQIZBk&list= PLqvhP6807i- 24xFjmato7ifntuu1G8-ym
2) Differentiation (also includes some material on series: see video 13.0 for arithmetic and geometric series)
https://www.youtube.com/watch? v=Yl-Mi00i8SI&list= PLqvhP6807i- 1OJUwEcAtkXwFbvhlczhHd
3) Complex numbers
https://www.youtube.com/watch? v=mWrUbcrGlPs&list= PLqvhP6807i-2wtG-7l- FDEsi5eVWuMtUY
4) Vectors
https://www.youtube.com/watch? v=wbCxkf3jJ3w&list= PLqvhP6807i- 0zX27olqR5MyY4uBhNkYZj
5) Integration (includes material on useful algebraic manipulation topics such as partial fractions and completing the square)
https://www.youtube.com/watch? v=elFqHzOAlzs&list= PLqvhP6807i- 0nC5hcCqteLVuVOLPw6f-a
6) Matrices (includes an introduction, and sections on matrix multiplication, determinants, inverses, systems of linear equations and eigenvalues and eigenvectors)
https://www.youtube.com/watch? v=RQGD9S2C2tE&list= PLqvhP6807i-2cb7PeI1QQkHHfU- BnzZrQ
https://www.youtube.com/watch?v=LGTInfHChzA
Linear Algebra
https://www.youtube.com/playlist?list=PLflMyS1QOtxwiN5oOuyY4W_8fZlTTnRcF
Analysis of discrete data
https://www.youtube.com/playlist?list=PLflMyS1QOtxy_mfqNWpH6hWc7lqgSfKZM
Brian Caffo Playlists
https://www.youtube.com/user/bcaffo/playlists
In-depth introduction to machine learning in 15 hours of expert videos
http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/1) Functions (see in particular videos 5 and 6 on binomial expansions and 9 and 10 on exponentials and logarithms)
https://www.youtube.com/watch?
2) Differentiation (also includes some material on series: see video 13.0 for arithmetic and geometric series)
https://www.youtube.com/watch?
3) Complex numbers
https://www.youtube.com/watch?
4) Vectors
https://www.youtube.com/watch?
5) Integration (includes material on useful algebraic manipulation topics such as partial fractions and completing the square)
https://www.youtube.com/watch?
6) Matrices (includes an introduction, and sections on matrix multiplication, determinants, inverses, systems of linear equations and eigenvalues and eigenvectors)
https://www.youtube.com/watch?
Dienstag, 23. August 2016
21st-centurys-100-greatest-films
21st century's 100 greatest films
http://www.bbc.com/culture/story/20160819-the-21st-centurys-100-greatest-films
greatest-comedies-of-all-time
http://www.bbc.com/culture/story/20170821-the-100-greatest-comedies-of-all-time
Best 10 movies of 2016
http://www.bbc.com/culture/story/20161215-the-10-best-films-of-2016
slow cooker recipes
http://www.bbcgoodfood.com/howto/guide/family-slow-cooker-recipes-0
http://www.bbc.com/culture/story/20160819-the-21st-centurys-100-greatest-films
greatest-comedies-of-all-time
http://www.bbc.com/culture/story/20170821-the-100-greatest-comedies-of-all-time
Best 10 movies of 2016
http://www.bbc.com/culture/story/20161215-the-10-best-films-of-2016
slow cooker recipes
http://www.bbcgoodfood.com/howto/guide/family-slow-cooker-recipes-0
Montag, 22. August 2016
shiny
Changing UI.
http://shiny.rstudio.com/articles/dynamic-ui.html
Having a run button.
http://shiny.rstudio.com/articles/action-buttons.html
Since R is single threaded the UI will block for longer running jobs:
But there is async progress bar:
http://shiny.rstudio.com/articles/progress.html
http://shiny.rstudio.com/articles/dynamic-ui.html
Having a run button.
http://shiny.rstudio.com/articles/action-buttons.html
Since R is single threaded the UI will block for longer running jobs:
But there is async progress bar:
http://shiny.rstudio.com/articles/progress.html
Mittwoch, 17. August 2016
Analyzing short time series
better than pca : http://bioconductor.org/packages/release/bioc/html/made4.html
pvals for clusters : https://cran.r-project.org/web/packages/pvclust/index.html
icc : https://cran.r-project.org/web/packages/ICC/index.html
Comparison of short time series:
https://bioconductor.org/packages/release/bioc/html/maSigPro.html
OPLS
https://www.r-bloggers.com/evaluation-of-orthogonal-signal-correction-for-pls-modeling-osc-pls-and-opls/
STEM short ts expression miner
http://www.sb.cs.cmu.edu/stem/
pvals for clusters : https://cran.r-project.org/web/packages/pvclust/index.html
icc : https://cran.r-project.org/web/packages/ICC/index.html
Comparison of short time series:
https://bioconductor.org/packages/release/bioc/html/maSigPro.html
OPLS
https://www.r-bloggers.com/evaluation-of-orthogonal-signal-correction-for-pls-modeling-osc-pls-and-opls/
STEM short ts expression miner
http://www.sb.cs.cmu.edu/stem/
Software for the analysis of time-series gene expression data
http://www.nature.com/nrg/journal/v13/n8/fig_tab/nrg3244_T1.htmlFreitag, 8. Juli 2016
Working with docker
docker run -p 8888:8888 -p 6006:6006 -v /home/yourhome/notebook:/notebook b.gcr.io/tensorflow/tensorflow sh -c "jupyter notebook /notebook"
for more details see:
http://stackoverflow.com/questions/33636925/how-do-i-start-tensorflow-docker-jupyter-notebook
https://docs.docker.com/engine/getstarted/step_four/
for more details see:
http://stackoverflow.com/questions/33636925/how-do-i-start-tensorflow-docker-jupyter-notebook
https://docs.docker.com/engine/getstarted/step_four/
Montag, 4. Juli 2016
MOOCS
MOOC platforms :
https://www.coursera.org/
https://www.edx.org/
https://www.datacamp.com/
https://lagunita.stanford.edu
https://www.udacity.com
https://www.futurelearn.com
https://www.udemy.com
http://www.dataschool.io/
http://www.statistics.com/
I did take courses on coursera, edx and udemy and some on udacity. I quite like coursera and edx because most of the courses have a very high standard, are very mature platforms providing good learning support (progress report, certificates, exercises, quizzes). I very much liked the peer review process on Coursera but haven't seen it used anymore recently.
Udemy and also Udacity are both a bit of a surprise box (some courses are great some less so) so check the user reviews.
https://www.coursera.org/
https://www.edx.org/
https://lagunita.stanford.edu
https://www.udacity.com
https://www.futurelearn.com
https://www.udemy.com
http://www.dataschool.io/
http://www.statistics.com/
I did take courses on coursera, edx and udemy and some on udacity. I quite like coursera and edx because most of the courses have a very high standard, are very mature platforms providing good learning support (progress report, certificates, exercises, quizzes). I very much liked the peer review process on Coursera but haven't seen it used anymore recently.
Udemy and also Udacity are both a bit of a surprise box (some courses are great some less so) so check the user reviews.
Montag, 29. Februar 2016
Syria refugee crisis - how to help
If you feel the urge because of compassion to do something for the victims of the Syrian War, for the refugees in Syria and from Syria in Greece, Lebanon, Turkey etc. here are a few links you might find useful:
Refugees Welcome:
http://www.refugees-welcome.net/
RED CROSS
https://www.icrc.org/en/support-us/operations/syria-appeal
UNHC
http://donate.unhcr.org/international/syria
See Watch
http://sea-watch.org/en/
Life rescue in Lesbos Greece
http://en.proactivaopenarms.org/
Refugies in the News:
Why British surgeon cannot forget this girl
http://www.bbc.com/news/world-europe-34131911
Child work in Lebanon
http://www.spiegel.de/politik/ausland/fluechtlinge-kinderarbeiter-aus-syrien-schuften-im-libanon-a-1093837.html
Video of bloodied five-year-old in Aleppo
http://www.abc.net.au/news/2016-08-18/children-continue-to-pay-price-of-syria-conflict/7761322
Broad picture
Watchers of the sky documentary:
https://en.wikipedia.org/wiki/Watchers_of_the_Sky
Germany hate crime: Nearly 10 attacks a day on migrants in 2016
http://www.bbc.com/news/world-europe-39096833
07.03.2017
SYRIAN CHILDREN FACE GROWING MENTAL HEALTH CRISIS, NEW REPORT REVEALS
https://www.savethechildren.net/article/syrian-children-face-growing-mental-health-crisis-new-report-reveals
Freitag, 8. Januar 2016
fdr
# Scaffold protein filtering:
# Peptides 1
Protein Threshold 1.0% FDR
Peptide Threshold 0.1% FDR
# Peptides 1
Protein Threshold 1.0% FDR
Peptide Threshold 0.1% FDR
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