作者：Haberman, SJ
摘要：In association models for cross-classified data, computation of maximum likelihood estimates (MLE's) is relatively difficult due to-the nonlinear constraints on the parameters. Currently available procedures based on the scoring algorithm for constrained maximum likelihood are relatively unreliable, and other cyclic procedures are relatively slow and do not provide estimated asymptotic standard deviations as by-products of calculations. To facilitate computations, it is noted that in standard ...
作者：Liu, JS; Neuwald, AF; Lawrence, CE
作者单位：National Institutes of Health (NIH) - USA; NIH National Library of Medicine (NLM); State University of New York (SUNY) System; Wadsworth Center; Harvard University
摘要：A wealth of data concerning life's basic molecules, proteins and nucleic acids, has emerged from the biotechnology revolution. The human genome project has accelerated the growth of these data. Multiple observations of homologous protein or nucleic acid sequences from different organisms are often available. But because mutations and sequence errors misalign these data, multiple sequence alignment has become an essential and valuable tool for understanding structures and functions of these mol...
