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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

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GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

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68 stars

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3 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

About

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); GitHub - bioFAM/mofapy2: Multi-omics factor analysis v2 · GitHub
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Multi-Omics Factor Analysis

PyPi version

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.
This repository contains mofapy2 Python library source code.

Please visit our website for details, tutorials, and much more.

Installation

Install the stable version from the Python Package Index:

pip install mofapy2

Or install the latest development version from the repository:

pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps

About

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68 stars

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3 watching

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