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secondary-nav__item-search dropdown"><a class="nav__item-link dropdown-title"><span class=""><span class="dropdown-title__text"><i class="wrapper-icon wrapper-icon-search"></i></span></span></a><span class="dropdown-body dropdown-body--align-left bg-color-black--10 header__search"><div class="grid-container"><div class="grid-x"><div class="cell"><div class="search-form"><form class="form form--stacked" method="get" action="/search/"><input type="search" maxLength="250" class="field__input field__search" id="searchquery" name="searchquery" placeholder="Search..." autoComplete="off"/></form></div></div></div></div></span></li><li class="secondary-nav__item secondary-nav__item-trial"><a href="//www.graphpad.com/demos/" type="button" class="btn btn-primary btn-s"><i class="wrapper-icon wrapper-icon-arrow-to-bottom"></i> Free Trial</a></li></ul></div></div></div></div></div></div></header><main><div class="" role="main"><section class="section-hero section-hero-text-left section-hero-color-gradient"><div class="grid-container"><div class="grid-x"><div class="cell"><h1 class="heading section-hero__title">Machine Learning</h1><div class="section-hero__description text-left"><div>Uncover hidden patterns and relationships, automate analyses and predict future outcomes.<br />Featuring advanced data preparation tools to deliver trustworthy insights.</div></div><div class="grid-x grid-margin-x grid-margin-y section-hero__action"><div class="cell medium-shrink"><div class="grid-x grid-margin-x grid-margin-y"><div class="cell shrink medium-shrink"><a href="//www.graphpad.com/demos/" type="button" class="btn btn-primary btn-s section-hero__button">Start a Free Trial</a></div><div class="cell shrink medium-shrink"><a href="//www.graphpad.com/how-to-buy/" type="button" class="btn btn-outline2-info-light btn-s section-hero__button">Pricing</a></div></div></div></div><div class="section-hero__background section-hero__background--right section-hero__background--bottom"><img class="image h-60" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/survival-analysis/graphic-step-graph-576.png"/></div></div></div></div></section><section class="landing-simple-section"><div class="grid-container"><div class="grid-x"><div class="cell"><h2 class="heading landing-simple-section__title-v2 text-center mt-0 mb-0"><div>Discover Trends</div></h2><div class="landing-simple-section__description-v2 text-l text-center mt-4">Organize your data into meaningful groups based on similarity with these unsupervised ML techniques.</div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Hierarchical Clustering</h3><div class="feature__meta-description">Group similar data points together, building a tree-like structure. This allows you to investigate how closely different observations are related to each other and uncover groupings within your data.</div><div class="text-weight--400 text-italic feature__meta-description">Available on Enterprise Plan</div></div></div></div></div><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-1.png"/></span></div></div></div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-2.png"/></span></div></div><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">K-means Clustering</h3><div class="feature__meta-description">Specify the number (K) of clusters you expect to find in your data. Prism then takes over, utilizing the K-means++ method, which outperforms alternative versions and intelligently groups your data points into the designated number of clusters.</div><div class="text-weight--400 text-italic feature__meta-description">Available on Enterprise Plan</div></div></div></div></div></div></div></div></div></section><section class="landing-simple-section bg-color-black--02"><div class="grid-container"><div class="grid-x"><div class="cell"><h2 class="heading landing-simple-section__title-v2 text-center mt-0 mb-6">Simplify Data</h2><div class="landing-simple-section__description-v2 text-l text-center mt-4">Use Dimensionality Reduction to transform your data into more interpretable and efficient formats, while retaining as much information (variance) as possible with these unsupervised ML techniques.</div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Principal Component Analysis (PCA)</h3><div class="feature__meta-description">Efficiently reduces variables while preserving crucial information. This unsupervised ML technique tackles overfitting and allows for clearer insights and stronger models.</div></div></div></div></div><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-3.png"/></span></div></div></div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-4.png"/></span></div></div><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Principal Component Regression (PCR)</h3><div class="feature__meta-description">Can be unlocked when combining PCA with regression. PCR is a powerful method for building more accurate and interpretable models.</div></div></div></div></div></div></div></div></div></section><section class="landing-simple-section"><div class="grid-container"><div class="grid-x"><div class="cell"><h2 class="heading landing-simple-section__title-v2 text-center mt-0 mb-6">GLMs for Wide Applicability</h2><div class="landing-simple-section__description-v2 text-l text-center mt-4">Train Generalized Linear Models models using data with known outcomes, allowing you to predict future data behavior and gain valuable insights.</div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Multiple Linear Regression</h3><div class="feature__meta-description">Can be used to identify how various factors impact your drug candidates, prioritizing the most promising leads early for efficient drug discovery.</div></div></div></div></div><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-5.png"/></span></div></div></div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-6.png"/></span></div></div><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Multiple Logistic Regression</h3><div class="feature__meta-description">Allows you to uncover biomarkers that predict drug effectiveness in specific patient populations, enabling development of targeted therapies for improved outcomes.</div></div></div></div></div></div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Poisson Regression</h3><div class="feature__meta-description">Analyzes count data and can be used to optimize cell culture conditions, ensuring consistent and reliable experiments.</div></div></div></div></div><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-7.png"/></span></div></div></div></div></div></div></section><section class="landing-simple-section bg-color-black--02"><div class="grid-container"><div class="grid-x"><div class="cell"><h2 class="heading landing-simple-section__title-v2 text-center mt-0 mb-6">Visualizations to Enhance Insights</h2><div class="landing-simple-section__description-v2 text-l text-center mt-4">Prism's visual tools for ML techniques make it easier to interpret clustering results and effectively communicate your findings.</div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Dendrograms</h3><div class="feature__meta-description">Provides a visual map of hierarchical clustering results. Visually determine the optimal number of clusters to use to segment the data.</div><div class="text-weight--400 text-italic feature__meta-description">Available on Enterprise Plan</div></div></div></div></div><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-8.png"/></span></div></div></div><div class="grid-x grid-padding-x justify-content-center align-items-center feature"><div class="cell small-12 medium-6 feature__image"><div class="feature__image--indent"><span class="image-caption"><img class="image image--long-shadow" alt="" src="https://cdn.graphpad.com/assets/18.10.8/assets/images/graphpad/machine-learning/image-9.png"/></span></div></div><div class="cell small-12 medium-6 feature__meta"><div class="feature__meta--indent"><div class="grid-x"><div class="cell auto"><h3 class="heading feature__meta-title heading-l">Confidence Ellipses and Convex Hulls</h3><div class="feature__meta-description">Confidence Ellipses show the variability within each group, highlighting how compact or dispersed your clusters are.</div><div class="feature__meta-description">Convex hulls define the boundaries of each cluster, revealing the extent of overlap between different data groups.</div><div class="text-weight--400 text-italic feature__meta-description">Available on Enterprise Plan</div></div></div></div></div></div></div></div></div></section><section class="landing-simple-section"><div class="grid-container"><div class="grid-x"><div class="cell"><h2 class="heading landing-simple-section__title-v2 text-center mt-0 mb-6">Machine Learning Highlights</h2><div class="grid-x justify-content-center mx-4"><div class="cell small-12 medium-6"><p class="text-weight--bold post-element__paragraph">Highlights:</p><ul class="ul ul-default post-element__ul"><li class="li post-element__list-item">Hierarchical & K-means Clustering</li><li class="li post-element__list-item">Dimensionality Reduction</li><li class="li post-element__list-item">Generalized Linear Models</li><li class="li post-element__list-item">Dendrograms</li><li class="li post-element__list-item">Confidence Ellipses & Convex Hulls</li></ul></div><div class="cell small-12 medium-6"><div class="box px-8 py-4"><p class="post-element__paragraph">Discover deeper insights from your experiments with Prism鈥檚 built in machine learning tools.</p><p class="post-element__paragraph">Designed specifically for scientists, Prism鈥檚 machine learning tools remove unnecessary information, automatically group similar data points, and help you see hidden connections.</p><p class="post-element__paragraph">Advanced visualizations clarify these relationships, giving you a clearer picture of your research.</p></div></div></div></div></div></div></section><section class="section-try-for-free"><div 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