Single-Cell Sampling: Sampling from Single Cells (Small Methods 3/2018)
نویسندگان
چکیده
منابع مشابه
Hybrid Single Sampling Plan
In the manufacturing processes, quantities like the proportion of defective units in a production lot may not be precisely known and most of the times the practitioners have to compromise with some imprecise (approximate) values. Prior knowledge of such quantities is required to evaluate the quality of a produced lot. In this paper, the properties of single sampling plan under situations involv...
متن کاملSingle Sampling Schemes
When a MIL..STD-lOSD sampling scheme is used for a long period, some lots will be subjected to normal, some to reduced, and some to tightened inspection. This paper provides for several single sampling plans and various quality levels,tthe expected fraction oflots rejected,the expected sample size per lot, and the expected number oflots to be processed before sampling inspection must be discont...
متن کاملSampling efficiency of a single-cell capillary electrophoresis system.
Capillary electrophoresis (CE) combined with a laser-induced fluorescence (LIF) detection scheme is a powerful approach for single-cell analysis. For measurements requiring a high temporal resolution, CE-LIF is often combined with cell lysis systems based on pulsed lasers. Although extremely rapid, laser lysis has raised some concerns about the efficiency at which the cell contents are sampled....
متن کاملSelective sampling and active learning from single and multiple teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of our algorithm and on the number of labels it queries when faced with an adaptive adversarial strategy of generating the instances. Our bounds both generalize and strictly improve over previous bounds in similar settings....
متن کاملRobust Selective Sampling from Single and Multiple Teachers
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of our algorithm and on the number of labels it queries when faced with an adaptive adversarial strategy of generating the instances. Our bounds both generalize and strictly improve over previous bounds in similar settings....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Small Methods
سال: 2018
ISSN: 2366-9608
DOI: 10.1002/smtd.201770124