From 443938e6ab6ac2aaade63bc1c51b7da1ebd960dd Mon Sep 17 00:00:00 2001 From: gebele Date: Mon, 1 Feb 2016 11:59:50 +0100 Subject: moved presentation to public folder --- application.rb | 4 - public/enm-workshop.html | 445 +++++++++++++++++++ public/enm-workshop.rst | 89 ++++ public/presentation/enm-workshop.html | 445 ------------------- public/presentation/enm-workshop.rst | 89 ---- public/presentation/ui/small-white/blank.gif | Bin 49 -> 0 bytes public/presentation/ui/small-white/framing.css | 24 - public/presentation/ui/small-white/iepngfix.htc | 42 -- public/presentation/ui/small-white/opera.css | 8 - public/presentation/ui/small-white/outline.css | 16 - public/presentation/ui/small-white/pretty.css | 114 ----- public/presentation/ui/small-white/print.css | 24 - public/presentation/ui/small-white/s5-core.css | 11 - public/presentation/ui/small-white/slides.css | 10 - public/presentation/ui/small-white/slides.js | 558 ------------------------ public/ui/small-white/blank.gif | Bin 0 -> 49 bytes public/ui/small-white/framing.css | 24 + public/ui/small-white/iepngfix.htc | 42 ++ public/ui/small-white/opera.css | 8 + public/ui/small-white/outline.css | 16 + public/ui/small-white/pretty.css | 114 +++++ public/ui/small-white/print.css | 24 + public/ui/small-white/s5-core.css | 11 + public/ui/small-white/slides.css | 10 + public/ui/small-white/slides.js | 558 ++++++++++++++++++++++++ 25 files changed, 1341 insertions(+), 1345 deletions(-) create mode 100644 public/enm-workshop.html create mode 100644 public/enm-workshop.rst delete mode 100644 public/presentation/enm-workshop.html delete mode 100644 public/presentation/enm-workshop.rst delete mode 100644 public/presentation/ui/small-white/blank.gif delete mode 100644 public/presentation/ui/small-white/framing.css delete mode 100644 public/presentation/ui/small-white/iepngfix.htc delete mode 100644 public/presentation/ui/small-white/opera.css delete mode 100644 public/presentation/ui/small-white/outline.css delete mode 100644 public/presentation/ui/small-white/pretty.css delete mode 100644 public/presentation/ui/small-white/print.css delete mode 100644 public/presentation/ui/small-white/s5-core.css delete mode 100644 public/presentation/ui/small-white/slides.css delete mode 100644 public/presentation/ui/small-white/slides.js create mode 100644 public/ui/small-white/blank.gif create mode 100644 public/ui/small-white/framing.css create mode 100644 public/ui/small-white/iepngfix.htc create mode 100644 public/ui/small-white/opera.css create mode 100644 public/ui/small-white/outline.css create mode 100644 public/ui/small-white/pretty.css create mode 100644 public/ui/small-white/print.css create mode 100644 public/ui/small-white/s5-core.css create mode 100644 public/ui/small-white/slides.css create mode 100644 public/ui/small-white/slides.js diff --git a/application.rb b/application.rb index abe4112..3782ded 100644 --- a/application.rb +++ b/application.rb @@ -9,10 +9,6 @@ get '/?' do redirect to('/predict') end -get '/enm-workshop' do - File.read(File.join('public', 'presentation', 'enm-workshop.html')) -end - get '/predict/?' do data = JSON.parse(File.read("./data.json")) query_features = JSON.parse(File.read("./query-features.json")) diff --git a/public/enm-workshop.html b/public/enm-workshop.html new file mode 100644 index 0000000..f0c6781 --- /dev/null +++ b/public/enm-workshop.html @@ -0,0 +1,445 @@ + + + + + + + +Read across toxicity predictions with nano-lazar + + + + + + + + + + + + + + +
+
+
+ + +
+
+
+

Read across toxicity predictions with nano-lazar

+ +

Christoph Helma

+

in silico toxicology gmbh

+http://www.enanomapper.net/sites/all/themes/theme807/logo.png + +
+
+

Requirements

+
    +
  • Nanoparticle characterisation
  • +
  • Toxicity measurements
  • +
+
+
+

eNanoMapper data import

+
    +
  • Nanoparticles imported: 464
  • +
  • Nanoparticles with particle characterisation: 394
  • +
  • Nanoparticles with toxicity data: 167
  • +
  • Nanoparticles with toxicity data and particle characterisation: 160
  • +
+
+
+

eNanoMapper toxicity endpoints

+
    +
  • Toxicity endpoints: 41
  • +
  • Toxicity endpoints with more than one measurement value: 22
  • +
  • Toxicity endpoints with more than 10 measurements: 2
  • +
+
+
+

Selected data

+

Protein corona dataset Au particles (106 particles) +Toxicity endpoint:

+
+
+

Read across procedure

+
    +
  • Identify relevant fragments (significant correlation with toxicity) +TODO list of fragments, number
  • +
  • Calculate similarities (weighted cosine similarity, correlation coefficients = weights)
  • +
  • Identify neighbors (particles with more than 0.95 similarity)
  • +
  • Calculate prediction (weighted average from neighbors, similarities = weights)
  • +
+
+
+

Future development

+
    +
  • Validation of predictions
  • +
  • Applicability domain/reliability of predictions
  • +
  • Accuracy improvements: +- additional data +- feature selection +- similarity calculation +- predictions (local regression models)
  • +
  • Usability improvements: +- additional data (extension of applicability domain, additional endpoints and chemistries) +- inclusion of ontologies +- descriptor calculation directly from core and coating chemistries
  • +
+
+
+

Webinterface

+

https://nano-lazar.in-silico.ch/predict

+

Your recommendations?

+
+ +
+ + diff --git a/public/enm-workshop.rst b/public/enm-workshop.rst new file mode 100644 index 0000000..26a3524 --- /dev/null +++ b/public/enm-workshop.rst @@ -0,0 +1,89 @@ +.. |date| date:: + + + +============================================================= +Read across toxicity predictions with nano-lazar +============================================================= + +.. class:: center + + Christoph Helma + + in silico toxicology gmbh + + .. image:: http://www.enanomapper.net/sites/all/themes/theme807/logo.png + :align: center + +Requirements +============ + +- Nanoparticle characterisation +- Toxicity measurements + + +eNanoMapper data import +======================= + +.. class:: incremental + + - Nanoparticles imported: 464 + - Nanoparticles with particle characterisation: 394 + - Nanoparticles with toxicity data: 167 + - Nanoparticles with toxicity data and particle characterisation: 160 + + +eNanoMapper toxicity endpoints +============================== + +.. class:: incremental + +- Toxicity endpoints: 41 +- Toxicity endpoints with more than one measurement value: 22 +- Toxicity endpoints with more than 10 measurements: 2 + +Selected data +============= + +Protein corona dataset Au particles (106 particles) +Toxicity endpoint: + +Read across procedure +===================== + +.. class:: incremental + +- Identify relevant fragments (significant correlation with toxicity) + TODO list of fragments, number +- Calculate similarities (weighted cosine similarity, correlation coefficients = weights) +- Identify neighbors (particles with more than 0.95 similarity) +- Calculate prediction (weighted average from neighbors, similarities = weights) + +Future development +================== + +- Validation of predictions +- Applicability domain/reliability of predictions + +- Accuracy improvements: + - additional data + - feature selection + - similarity calculation + - predictions (local regression models) + +- Usability improvements: + - additional data (extension of applicability domain, additional endpoints and chemistries) + - inclusion of ontologies + - descriptor calculation directly from core and coating chemistries + +Webinterface +============ + +https://nano-lazar.in-silico.ch/predict + +Your recommendations? + +Source code +=========== + +https://github.com/opentox/nano-lazar diff --git a/public/presentation/enm-workshop.html b/public/presentation/enm-workshop.html deleted file mode 100644 index f0c6781..0000000 --- a/public/presentation/enm-workshop.html +++ /dev/null @@ -1,445 +0,0 @@ - - - - - - - -Read across toxicity predictions with nano-lazar - - - - - - - - - - - - - - -
-
-
- - -
-
-
-

Read across toxicity predictions with nano-lazar

- -

Christoph Helma

-

in silico toxicology gmbh

-http://www.enanomapper.net/sites/all/themes/theme807/logo.png - -
-
-

Requirements

-
    -
  • Nanoparticle characterisation
  • -
  • Toxicity measurements
  • -
-
-
-

eNanoMapper data import

-
    -
  • Nanoparticles imported: 464
  • -
  • Nanoparticles with particle characterisation: 394
  • -
  • Nanoparticles with toxicity data: 167
  • -
  • Nanoparticles with toxicity data and particle characterisation: 160
  • -
-
-
-

eNanoMapper toxicity endpoints

-
    -
  • Toxicity endpoints: 41
  • -
  • Toxicity endpoints with more than one measurement value: 22
  • -
  • Toxicity endpoints with more than 10 measurements: 2
  • -
-
-
-

Selected data

-

Protein corona dataset Au particles (106 particles) -Toxicity endpoint:

-
-
-

Read across procedure

-
    -
  • Identify relevant fragments (significant correlation with toxicity) -TODO list of fragments, number
  • -
  • Calculate similarities (weighted cosine similarity, correlation coefficients = weights)
  • -
  • Identify neighbors (particles with more than 0.95 similarity)
  • -
  • Calculate prediction (weighted average from neighbors, similarities = weights)
  • -
-
-
-

Future development

-
    -
  • Validation of predictions
  • -
  • Applicability domain/reliability of predictions
  • -
  • Accuracy improvements: -- additional data -- feature selection -- similarity calculation -- predictions (local regression models)
  • -
  • Usability improvements: -- additional data (extension of applicability domain, additional endpoints and chemistries) -- inclusion of ontologies -- descriptor calculation directly from core and coating chemistries
  • -
-
-
-

Webinterface

-

https://nano-lazar.in-silico.ch/predict

-

Your recommendations?

-
- -
- - diff --git a/public/presentation/enm-workshop.rst b/public/presentation/enm-workshop.rst deleted file mode 100644 index 26a3524..0000000 --- a/public/presentation/enm-workshop.rst +++ /dev/null @@ -1,89 +0,0 @@ -.. |date| date:: - - - -============================================================= -Read across toxicity predictions with nano-lazar -============================================================= - -.. class:: center - - Christoph Helma - - in silico toxicology gmbh - - .. image:: http://www.enanomapper.net/sites/all/themes/theme807/logo.png - :align: center - -Requirements -============ - -- Nanoparticle characterisation -- Toxicity measurements - - -eNanoMapper data import -======================= - -.. class:: incremental - - - Nanoparticles imported: 464 - - Nanoparticles with particle characterisation: 394 - - Nanoparticles with toxicity data: 167 - - Nanoparticles with toxicity data and particle characterisation: 160 - - -eNanoMapper toxicity endpoints -============================== - -.. class:: incremental - -- Toxicity endpoints: 41 -- Toxicity endpoints with more than one measurement value: 22 -- Toxicity endpoints with more than 10 measurements: 2 - -Selected data -============= - -Protein corona dataset Au particles (106 particles) -Toxicity endpoint: - -Read across procedure -===================== - -.. class:: incremental - -- Identify relevant fragments (significant correlation with toxicity) - TODO list of fragments, number -- Calculate similarities (weighted cosine similarity, correlation coefficients = weights) -- Identify neighbors (particles with more than 0.95 similarity) -- Calculate prediction (weighted average from neighbors, similarities = weights) - -Future development -================== - -- Validation of predictions -- Applicability domain/reliability of predictions - -- Accuracy improvements: - - additional data - - feature selection - - similarity calculation - - predictions (local regression models) - -- Usability improvements: - - additional data (extension of applicability domain, additional endpoints and chemistries) - - inclusion of ontologies - - descriptor calculation directly from core and coating chemistries - -Webinterface -============ - -https://nano-lazar.in-silico.ch/predict - -Your recommendations? - -Source code -=========== - -https://github.com/opentox/nano-lazar diff --git a/public/presentation/ui/small-white/blank.gif b/public/presentation/ui/small-white/blank.gif deleted file mode 100644 index 75b945d..0000000 Binary files a/public/presentation/ui/small-white/blank.gif and /dev/null differ diff --git a/public/presentation/ui/small-white/framing.css b/public/presentation/ui/small-white/framing.css deleted file mode 100644 index 70287dd..0000000 --- a/public/presentation/ui/small-white/framing.css +++ /dev/null @@ -1,24 +0,0 @@ -/* This file has been placed in the public domain. */ -/* The following styles size, place, and layer the slide components. - Edit these if you want to change the overall slide layout. - The commented lines can be uncommented (and modified, if necessary) - to help you with the rearrangement process. */ - -/* target = 1024x768 */ - -div#header, div#footer, .slide {width: 100%; 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- } - } - return elemColl; -} - -function isParentOrSelf(element, id) { - if (element == null || element.nodeName=='BODY') return false; - else if (element.id == id) return true; - else return isParentOrSelf(element.parentNode, id); -} - -function nodeValue(node) { - var result = ""; - if (node.nodeType == 1) { - var children = node.childNodes; - for (var i = 0; i < children.length; ++i) { - result += nodeValue(children[i]); - } - } - else if (node.nodeType == 3) { - result = node.nodeValue; - } - return(result); -} - -function slideLabel() { - var slideColl = GetElementsWithClassName('*','slide'); - var list = document.getElementById('jumplist'); - smax = slideColl.length; - for (var n = 0; n < smax; n++) { - var obj = slideColl[n]; - - var did = 'slide' + n.toString(); - if (obj.getAttribute('id')) { - slideIDs[n] = obj.getAttribute('id'); - } - else { - obj.setAttribute('id',did); - slideIDs[n] = did; - } - if (isOp) continue; - - var otext = ''; - var menu = obj.firstChild; - if (!menu) continue; // to cope with empty slides - while (menu && menu.nodeType == 3) { - menu = menu.nextSibling; - } - if (!menu) continue; // to cope with slides with only text nodes - - var menunodes = menu.childNodes; - for (var o = 0; o < menunodes.length; o++) { - otext += nodeValue(menunodes[o]); - } - list.options[list.length] = new Option(n + ' : ' + otext, n); - } -} - -function currentSlide() { - var cs; - var footer_nodes; - var vis = 'visible'; - if (document.getElementById) { - cs = document.getElementById('currentSlide'); - footer_nodes = document.getElementById('footer').childNodes; - } else { - cs = document.currentSlide; - footer = document.footer.childNodes; - } - cs.innerHTML = '' + snum + '<\/span> ' + - '\/<\/span> ' + - '' + (smax-1) + '<\/span>'; - if (snum == 0) { - vis = 'hidden'; - } - cs.style.visibility = vis; - for (var i = 0; i < footer_nodes.length; i++) { - if (footer_nodes[i].nodeType == 1) { - footer_nodes[i].style.visibility = vis; - } - } -} - -function go(step) { - if (document.getElementById('slideProj').disabled || step == 0) return; - var jl = document.getElementById('jumplist'); - var cid = slideIDs[snum]; - var ce = document.getElementById(cid); - if (incrementals[snum].length > 0) { - for (var i = 0; i < incrementals[snum].length; i++) { - removeClass(incrementals[snum][i], 'current'); - removeClass(incrementals[snum][i], 'incremental'); - } - } - if (step != 'j') { - snum += step; - lmax = smax - 1; - if (snum > lmax) snum = lmax; - if (snum < 0) snum = 0; - } else - snum = parseInt(jl.value); - var nid = slideIDs[snum]; - var ne = document.getElementById(nid); - if (!ne) { - ne = document.getElementById(slideIDs[0]); - snum = 0; - } - if (step < 0) {incpos = incrementals[snum].length} else {incpos = 0;} - if (incrementals[snum].length > 0 && incpos == 0) { - for (var i = 0; i < incrementals[snum].length; i++) { - if (hasClass(incrementals[snum][i], 'current')) - incpos = i + 1; - else - addClass(incrementals[snum][i], 'incremental'); - } - } - if (incrementals[snum].length > 0 && incpos > 0) - addClass(incrementals[snum][incpos - 1], 'current'); - ce.style.visibility = 'hidden'; - ne.style.visibility = 'visible'; - jl.selectedIndex = snum; - currentSlide(); - number = 0; -} - -function goTo(target) { - if (target >= smax || target == snum) return; - go(target - snum); -} - -function subgo(step) { - if (step > 0) { - removeClass(incrementals[snum][incpos - 1],'current'); - removeClass(incrementals[snum][incpos], 'incremental'); - addClass(incrementals[snum][incpos],'current'); - incpos++; - } else { - incpos--; - removeClass(incrementals[snum][incpos],'current'); - addClass(incrementals[snum][incpos], 'incremental'); - addClass(incrementals[snum][incpos - 1],'current'); - } -} - -function toggle() { - var slideColl = GetElementsWithClassName('*','slide'); - var slides = document.getElementById('slideProj'); - var outline = document.getElementById('outlineStyle'); - if (!slides.disabled) { - slides.disabled = true; - outline.disabled = false; - s5mode = false; - fontSize('1em'); - for (var n = 0; n < smax; n++) { - var slide = slideColl[n]; - slide.style.visibility = 'visible'; - } - } else { - slides.disabled = false; - outline.disabled = true; - s5mode = true; - fontScale(); - for (var n = 0; n < smax; n++) { - var slide = slideColl[n]; - slide.style.visibility = 'hidden'; - } - slideColl[snum].style.visibility = 'visible'; - } -} - -function showHide(action) { - var obj = GetElementsWithClassName('*','hideme')[0]; - switch (action) { - case 's': obj.style.visibility = 'visible'; break; - case 'h': obj.style.visibility = 'hidden'; break; - case 'k': - if (obj.style.visibility != 'visible') { - obj.style.visibility = 'visible'; - } else { - obj.style.visibility = 'hidden'; - } - break; - } -} - -// 'keys' code adapted from MozPoint (http://mozpoint.mozdev.org/) -function keys(key) { - if (!key) { - key = event; - key.which = key.keyCode; - } - if (key.which == 84) { - toggle(); - return; - } - if (s5mode) { - switch (key.which) { - case 10: // return - case 13: // enter - if (window.event && isParentOrSelf(window.event.srcElement, 'controls')) return; - if (key.target && isParentOrSelf(key.target, 'controls')) return; - if(number != undef) { - goTo(number); - break; - } - case 32: // spacebar - case 34: // page down - case 39: // rightkey - case 40: // downkey - if(number != undef) { - go(number); - } else if (!incrementals[snum] || incpos >= incrementals[snum].length) { - go(1); - } else { - subgo(1); - } - break; - case 33: // page up - case 37: // leftkey - case 38: // upkey - if(number != undef) { - go(-1 * number); - } else if (!incrementals[snum] || incpos <= 0) { - go(-1); - } else { - subgo(-1); - } - break; - case 36: // home - goTo(0); - break; - case 35: // end - goTo(smax-1); - break; - case 67: // c - showHide('k'); - break; - } - if (key.which < 48 || key.which > 57) { - number = undef; - } else { - if (window.event && isParentOrSelf(window.event.srcElement, 'controls')) return; - if (key.target && isParentOrSelf(key.target, 'controls')) return; - number = (((number != undef) ? number : 0) * 10) + (key.which - 48); - } - } - return false; -} - -function clicker(e) { - number = undef; - var target; - if (window.event) { - target = window.event.srcElement; - e = window.event; - } else target = e.target; - if (target.href != null || hasValue(target.rel, 'external') || isParentOrSelf(target, 'controls') || isParentOrSelf(target,'embed') || isParentOrSelf(target, 'object')) return true; - if (!e.which || e.which == 1) { - if (!incrementals[snum] || incpos >= incrementals[snum].length) { - go(1); - } else { - subgo(1); - } - } -} - -function findSlide(hash) { - var target = document.getElementById(hash); - if (target) { - for (var i = 0; i < slideIDs.length; i++) { - if (target.id == slideIDs[i]) return i; - } - } - return null; -} - -function slideJump() { - if (window.location.hash == null || window.location.hash == '') { - currentSlide(); - return; - } - if (window.location.hash == null) return; - var dest = null; - dest = findSlide(window.location.hash.slice(1)); - if (dest == null) { - dest = 0; - } - go(dest - snum); -} - -function fixLinks() { - var thisUri = window.location.href; - thisUri = thisUri.slice(0, thisUri.length - window.location.hash.length); - var aelements = document.getElementsByTagName('A'); - for (var i = 0; i < aelements.length; i++) { - var a = aelements[i].href; - var slideID = a.match('\#.+'); - if ((slideID) && (slideID[0].slice(0,1) == '#')) { - var dest = findSlide(slideID[0].slice(1)); - if (dest != null) { - if (aelements[i].addEventListener) { - aelements[i].addEventListener("click", new Function("e", - "if (document.getElementById('slideProj').disabled) return;" + - "go("+dest+" - snum); " + - "if (e.preventDefault) e.preventDefault();"), true); - } else if (aelements[i].attachEvent) { - aelements[i].attachEvent("onclick", new Function("", - "if (document.getElementById('slideProj').disabled) return;" + - "go("+dest+" - snum); " + - "event.returnValue = false;")); - } - } - } - } -} - -function externalLinks() { - if (!document.getElementsByTagName) return; - var anchors = document.getElementsByTagName('a'); - for (var i=0; i' + - '