An Open Guide to Data Structures and Algorithms [PDF]
, 2023 This textbook serves as a gentle introduction for undergraduates to theoretical concepts in data structures and algorithms in computer science while providing coverage of practical implementation (coding) issues.
Bible, Paul W., Moser, Lucas
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Recursive Combinatorial Structures: Enumeration, Probabilistic Analysis and Random Generation [PDF]
, 2018 In a probabilistic context, the main data structures of computer science are viewed as random combinatorial objects. Analytic Combinatorics, as described in the book by Flajolet and Sedgewick, provides a set of high-level tools for their probabilistic
Salvy, Bruno
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A Direct Manipulation Language for Explaining Algorithms [PDF]
, 2014 Instructors typically explain algorithms in computer science by tracing their behavior, often on blackboards, sometimes with algorithm visualizations.
Davis, Randall +2 more
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Prospects and limitations of full-text index structures in genome analysis [PDF]
, 2012 The combination of incessant advances in sequencing technology producing large amounts of data and innovative bioinformatics approaches, designed to cope with this data flood, has led to new interesting results in the life sciences.
Dawyndt, Peter +3 more
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Research and Education in Computational Science and Engineering [PDF]
, 2016 Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the ...
Biros, George +32 more
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Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]
, 2017 The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh +24 more
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Chemoinformatics Research at the University of Sheffield: A History and Citation Analysis [PDF]
, 2003 This paper reviews the work of the Chemoinformatics Research Group in the Department of Information Studies at the University of Sheffield, focusing particularly on the work carried out in the period 1985-2002.
Bishop, N. +3 more
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From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Symbolic and analytic techniques for resource analysis of Java bytecode [PDF]
, 2010 Recent work in resource analysis has translated the idea of amortised resource analysis to imperative languages using a program logic that allows mixing of assertions about heap shapes, in the tradition of separation logic, and assertions about ...
Aspinall, David +3 more
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Development of visible light‐sensitive human neuropsin (OPN5) via single amino acid substitution
FEBS Letters, EarlyView.The present study determines a key amino acid residue, Lys91, for defining UV sensitivity of human OPN5. Heterologous action spectroscopy of the wild type and K91 mutants of OPN5 in HEK293T cells reveals that substitution of Lys91 with neutral (alanine) or acidic amino acids (glutamic or aspartic acids) causes substantial shifts in spectral sensitivity
Yusuke Sakai +2 more
wiley +1 more source