![]() ![]() Alternatively, we can enter data and then use Calc in a ‘What If…’ manner by changing some of the data and observing the results without having to retype the entire spreadsheet.We can enter any kind of data in a spreadsheet and then manipulate this data to produce certain results. OpenOffice Calc is the spreadsheet component of OpenOffice.OpenOffice Calc is a popular open source spreadsheet application maintained by Apache Foundation.The content will be available in destination location atone. While Cut-Paste, the content will shift from source location to the destination location, i.e., the content will change its position. While Copy-Paste, the content will be available in both source and destination locations. and the rows are numbered from 1, 2, 3….ĭifferentiate between Copy – Paste and Cut – Paste. Rows and Columns: The worksheet has number of rows and columns, where each column is labelled as A, B, C, D …. Text Operator: In Calc, “&” is a text operator which is used to combine two or more text, Joining two different texts is also known as “Text Concatenation” An expression using the text operator has the following syntax: The “Insert Cells” dialog box contains four options: ![]() What are the options available in “Insert Cells” dialog box? Press F2 function key and then use backspace to delete the unwanted and type the required.Click on the formula bar and use backspace to delete the unwanted and type the required.Place the cell pointer in the cell and type the new data which replaces the existing data.We can do It in any one of the following method: What are the keyboard shortcuts to cut, copy and paste?Ĭan you edit the contents of a cell? If yes, explain any one of the method of editing the cell content. General Syntax of constructing a formula is: Write the general syntax of constructing a formula in Calc. An expression using the text operator has the following syntax: Joining two different texts is also known as “Text Concatenation”. In Calc, “&” is a text operator which is used to combine two or more text. Write about the text operator in OpenOffice Calc. The cell in which the cell pointer is currently located is known as active cell. ![]() There are three toolbars available by default.Ĭell pointer is a rectangle box which can be moved around the worksheet. What are the types of toolbars available in OpenOffice Calc? Which of the following key combinations is used to increase the width of the current column? Which of the following symbol is used to make a cell address as an absolute reference? What will be the result from the following expression (Assume H1 = 12, H2 = 12)? = H1H2 What wilt be the result from the following formula (Assume A1=5, 82=2)? + A1^B2 Which key is used to move the cell pointer in the forward direction within the worksheet?Ī formula in calc may begin with _. Grid of cells with a programmable calculator:Ī column heading in Calc is represented using _. Which of the following applications was the parent to OpenOffice Calc? Which is the first electronic spreadsheet? ![]()
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Finally, we utilize single-cell communication networks calculated using Scriabin to follow communication pathways that operate between timepoints in longitudinal datasets, highlighting bystander cells as important initiators of inflammatory reactions in acute SARS-CoV-2 infection. We then apply Scriabin to uncover co-expressed programs of CCC from atlas-scale datasets, validating known communication pathways required for maintaining the intestinal stem cell niche as well as previously unappreciated modes of intercellular communication. ![]() ![]() We leverage multiple published datasets to show that Scriabin recovers expected CCC edges and use spatial transcriptomic data to validate that the recovered edges are biologically meaningful. Here we present Scriabin a" a flexible and scalable framework for comparative analysis of CCC at single-cell resolution. Inference of cell-cell communication (CCC) from single-cell RNA-sequencing data is a powerful technique to uncover putative axes of multicellular coordination, yet existing methods perform this analysis at the level of the cell type or cluster, discarding single-cell level information. The tools developed in this project are all open source packages developed in R and provide an example of reproducible research in action. In a long term collaboration with Professor David Relman (Stanford Medical School) we are developing a multi-table toolbox of non parametric methods that enable users to normalize and visualize the multiple facets of the microbiota in the human body under different classes of perturbations. More general manifolds have also proved useful in one of our current projects, joint with Xavier Pennec of INRIA-SophiaAntiolis which focuses on the uses of differential geometry in computational anatomy and image processing. The statistical bases for these nonparametric methods are computer intensive methods using optimization and Kernels and we often find useful embeddings of high dimensional data in low dimensional structures, the extreme case being finding a natural ordering in high dimensional data. This has proved useful in the study of drug resistant mutations in HIV and in the study of the dynamics of bacterial communities in the Human Microbiome. We have generalized methods such as Principal Components Analysis (PCA) to more diverse data incorporating spatial information as well as tree dependency structures. Whether using image analysis and segmentation for the study of cancer and immune cell interactions, or brain imaging and DNA sequence analyses for the study of dependencies between genetic and neurological dynamics, all these statistical studies have involved large complex datasets of different types where dynamics of interactions between different components of a system are the key to understanding the underlying biology. Our work focuses on large heterogeneous multi-layer data analyses.
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