搜索结果: 1-15 共查到“知识库 生物数学”相关记录100条 . 查询时间(3.173 秒)
异质型单细胞多模态数据整合的流形对齐算法
异质型单细胞 多模态 数据整合 流形对齐算法
2023/1/5
梅毒是一种由梅毒螺旋体引起的性传播疾病,虽然对青霉素治疗敏感,但仍然全球流行。研发疫苗是预防梅毒行之有效的措施,能完善以公共卫生为导向的梅毒的预防、筛查和治疗,阻止梅毒全球蔓延。本文概述了开发梅毒疫苗的必要性,总结了梅毒疫苗前期研究状况,讨论了梅毒疫苗需针对的关键抗感染因素,提出了梅毒疫苗设计应考虑的关键问题以及未来梅毒疫苗发展的策略与措施。行业、管理和资助机构应优先考虑开发梅毒疫苗,并应给予适当...
沙冬青(Ammopiptanthus)的遗传结构与保育
遗传多样性 遗传结构 保育启示
2018/4/18
沙冬青(Ammopiptanthus)是蒙新砾质荒漠中唯一常绿阔叶灌木孑遗,且已陷入濒临灭绝的境地。沙冬青属内分类争论已久。利用分子手段对国内沙冬青居群进行了遗传结构分析,以对其保护提供准确的遗传学信息。核序列和叶绿体间隔数据均表明,沙冬青属包含两个明显不同的分支,分别分布于塔里木荒漠与阿拉善荒漠,我们据此建议恢复分布于新疆的沙冬青居群的物种地位,即新疆沙冬青(A.nunas)。沙冬青属属下两个种...
蓝细菌生物标志物——2-甲基藿烷类化合物研究进 展及其应用
蓝细菌 生物标志物 2-甲基细菌藿多醇 2-甲基藿烷指数
2019/1/16
蓝细菌是具有产氧光合作用的自养型微生物,其个体微小,数量庞大,广泛分布在海洋和陆地环境中,同时部分蓝细菌又具有固氮作用,所以蓝细菌在全球碳循环和氮循环过程中都扮演重要角色。2-甲基藿烷类化合物(藿多醇和藿烷)是一类目前被广泛使用的蓝细菌生物标志物。2-甲基藿多醇被广泛用于估测近现代沉积物中蓝细菌的生物量和群落结构。而2-甲基霍烷则被应用于指示地质历史时期蓝细菌的生物量和重建古环境。本文总结了近年来...
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
Gene expression patterns breast carcinomas tumor subclasses clinical implications
2015/8/21
The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and to correlate tumor characteristics to clinical outcome. A ...
Class prediction by nearest shrunken centroids,with applications to DNA microarrays.
Class prediction nearest shrunken centroids DNA microarrays
2015/8/21
Class prediction by nearest shrunken centroids,with applications to DNA microarrays..
Hierarchical Classification using Shrunken Centroids
Hierarchical Classification Shrunken Centroids
2015/8/21
There are various types of classifiers that can be trained on gene expression data with class labels. Many of them have an embedded mechanism for feature selection, by which they distinguish a subset ...
Using multivariate adaptive regression splines to predict the distributions of New Zealand’s freshwater diadromous fish
distribution environment fish fresh-water MARS
2015/8/21
Relationships between probabilities of occurrence for fifteen diadromous fish species and environmental variables characterising their habitat in fluvial waters were explored using an extensive collec...
Variation in demersal fish species richness in the oceans surrounding New Zealand:an analysis using boosted regression trees
Demersal fish Species richness Boosted regression trees Statistical model
2015/8/21
We analysed relationships between demersal fish species richness, environment and trawl characteristics using an extensive collection of trawl data from the oceans around New Zealand. Analyses were ca...
Penalized Logistic Regression for Detecting Gene Interactions
Penalized Logistic Regression Detecting Gene Interactions
2015/8/21
We propose using a variant of logistic regression with L2 regularization to fit genegene and gene-environment interaction models. Studies have shown that many common diseases are influenced by interac...
Regularization Path Algorithms for Detecting Gene Interactions
Path Algorithms Detecting Gene Interactions
2015/8/21
In this study, we consider several regularization path algorithms with grouped variable selection for modeling gene-interactions. When fitting with categorical factors, including the genotype measurem...
Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
Distribution Environment Fish Freshwater Generalized additive model Multivariate adaptive regression splines
2015/8/21
Two statistical modelling techniques, generalized additive models (GAM) and multivariate adaptive regression splines (MARS), were used to analyse relationships between the distributions of 15 freshwat...
Dispersal,disturbance and the contrasting biogeographies of New Zealand’s diadromous and non-diadromous fish species
Boosted regression tree diadromy dispersal disturbance fish freshwater statistical model species ranges
2015/8/21
Aim To examine the relationship between diadromy and dispersal ability in New Zealand’s freshwater fish fauna, and how this affects the current environmental and geographic distributions of both diadr...
A working guide to boosted regression trees
data mining machine learning model averaging random forests species distributions
2015/8/21
A working guide to boosted regression trees.
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
Canonical correlation analysis DNA copy number Integrative genomic analysis L1 Matrix decomposition Principal component analysis Sparse principal component analysis SVD.
2015/8/21
We present a penalized matrix decomposition (PMD), a new framework for computing a rank-K approximation for a matrix. We approximate the matrix X as X ˆ = k K=1 dkukvk T , where dk, uk, and vk m...