Predicting Function

Predicting Protein Molecular Function

Predicting Protein Molecular Function by Barbara Elizabeth Engelhardt Doctor of Philosophy in Computer Science and the Designated Emphases in Computational and Genomic Biology and Communication, Computation, and Statistics University of California, Berkeley Professor Michael I. Jordan, Chair The number of known nucleotide sequences encoding proteins is growing at an extraordinarily fast rate du...

Predicting Sexual Function Based on Love Styles and Maladaptive

Introduction: Women experience unique events during their lives, two examples of which are pregnancy and childbirth. Sexual desire and activity in pregnant women and their husbands are unpredictable during pregnancy and their sexual function may increase, decrease, or remain unchanged.  Objective: This study aimed to predict sexual function based on the love styles and maladaptive schemas amon...

Enzymes Predicting Function using Structures

Predicting gene function in Saccharomyces cerevisiae

MOTIVATION S.cerevisiae is one of the most important model organisms, and has has been the focus of over a century of study. In spite of these efforts, 40% of its open reading frames (ORFs) remain classified as having unknown function (MIPS: Munich Information Center for Protein Sequences). We wished to make predictions for the function of these ORFs using data mining, as we have previously suc...

Predicting Contextual Sequences via Submodular Function Maximization

Sequence optimization, where the items in a list are ordered to maximize some reward has many applications such as web advertisement placement, search, and control libraries in robotics. Previous work in sequence optimization produces a static ordering that does not take any features of the item or context of the problem into account. In this work, we propose a general approach to order the ite...