The Fluid Mosaic Model of the Structure of Cell Membranes
A fluid mosaic model is presented for the gross organization and structure of the proteins and lipids of biological membranes. The model is consistent with the restrictions impo...
Publications
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349 publications
Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while th...
Recombinant genomes which express chloramphenicol acetyltransferase in mammalian cells.
We constructed a series of recombinant genomes which directed expression of the enzyme chloramphenicol acetyltransferase (CAT) in mammalian cells. The prototype recombinant in t...
The Varimax Criterion for Analytic Rotation in Factor Analysis
An analytic criterion for rotation is defined. The scientific advantage of analytic criteria over subjective (graphical) rotational procedures is discussed. Carroll's criterion ...
Handbook of Genetic Algorithms
This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems. The first objective is tackled by the editor, Lawrence Davis. Th...
The Quarterly Journal of Economics
I. Formulation of the question. A brief historical survey, 381. — II. Recent discussion in Germany: Lederer, Loewe, Carrel, 386. — III. In what sense the equilibrium theory is v...
Decoding by Linear Programming
This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl isin/R/sup n/ from corrupted measurements y=Af+e....
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly sim...
Stable signal recovery from incomplete and inaccurate measurements
Abstract Suppose we wish to recover a vector x 0 ∈ ℝ 𝓂 (e.g., a digital signal or image) from incomplete and contaminated observations y = A x 0 + e ; A is an 𝓃 × 𝓂 matrix wi...
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Suppose we are given a vector f in a class F ⊂ ℝN, e.g., a class of digital signals or digital images. How many linear measurements do we need to make about f to be able to reco...
UniProt: the universal protein knowledgebase in 2021
Abstract The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional inf...