Titlebook: Network Inference in Molecular Biology; A Hands-on Framework Jesse M. Lingeman,Dennis Shasha Book 2012 The Author(s) 2012 Clustering.Gene R

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Step 2: Use Steady State Data for Network Inference,me way. For example, the organism may be in one steady state in a low nutrient condition, another in a high nutrient condition, and still another after some mutation has occurred and we have waited until transient effects have died out. Steady-state data can arise from experiments in which one or mo

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Step 3: Using Time-Series Data,er directionality of edges, or help to infer causal relations between genes. However, adding temporal information also creates a more complex dataset. It adds interdependencies between experiments (time-points) that don’t exist in steady-state data, so more care has to be taken in analysis. Three ty

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roduction of recent advances on single-molecule studies. It will be illustrated that studying single molecules is both intellectually and technologically ch- lenging, and also o?ers vast potential in opening up new scienti?c frontiers. We wish to present the readers with several di?erent techniques

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Jesse M Lingeman,Dennis Shasharoduction of recent advances on single-molecule studies. It will be illustrated that studying single molecules is both intellectually and technologically ch- lenging, and also o?ers vast potential in opening up new scienti?c frontiers. We wish to present the readers with several di?erent techniques

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Jesse M Lingeman,Dennis Shashacused - search in nanoscience and nanotechnology. This book is dedicated to the - troduction of recent advances on single-molecule studies. It will be illustrated that studying single molecules is both intellectually and technologically ch- lenging, and also o?ers vast potential in opening up new sc

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