Titlebook: Research in Computational Molecular Biology; 26th Annual Internat Itsik Pe‘er Conference proceedings 2022 The Editor(s) (if applicable) and

綠州

Semi-supervised Single-Cell Cross-modality Translation Using Polarbeartasets where only one modality is available. However, the sparsity of single-cell measurements and the limited number of cells measured in typical co-assay datasets impedes the power of cross-modality translation. Here, we propose Polarbear, a semi-supervised translation framework to predict cross-m

徹底明白

嗎啡

箴言

朝圣者

A Fast, Provably Accurate Approximation Algorithm for?Sparse Principal Component Analysis Reveals Hu interpretability of PCA, various approaches to obtain sparse principal direction loadings have been proposed, which are termed Sparse Principal Component Analysis (SPCA). In this paper, we present ., a provably accurate algorithm based on thresholding the Singular Value Decomposition for the SPCA p

macrophage

龍卷風(fēng)

Real-Valued Group Testing for?Quantitative Molecular Assaysements. In the first approach, the problem is defined over the Boolean field – the goal is to recover a Boolean vector and measurements are Boolean; in the second approach, the unknown vector and the measurements are over the reals. Here, we focus on real-valued group testing setting that more close

新手

On the?Effect of?Intralocus Recombination on?Triplet-Based Species Tree Estimationted triplets. We demonstrate analytically that intralocus recombination gives rise to an inconsistency zone, in which correct inference is not assured even in the limit of infinite amount of data. In addition, we validate and characterize this inconsistency zone through a simulation study that sugge

類人猿

QT-GILD: Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despiof reasons (ranging from sampling biases to more biological causes, as in gene birth and loss), gene trees are often incomplete, meaning that not all species of interest have a common set of genes. Incomplete gene trees can potentially impact the accuracy of phylogenomic inference. We, for the first

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