Heuristic steps

Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects. To address this, we present a modeling framework for the normalization and variance stabilization of molecular count data from scRNA-seq experiments.

15p vielonmusk 30-01-2022 8 0   Download

The discovery and mapping of genomic variants is an essential step in most analysis done using sequencing reads. There are a number of mature software packages and associated pipelines that can identify single nucleotide polymorphisms (SNPs) with a high degree of concordance.

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High-throughput bio-OMIC technologies are producing high-dimension data from bio-samples at an ever increasing rate, whereas the training sample number in a traditional experiment remains small due to various difficulties.

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Scheduling tasks on heterogeneous resources distributed over a grid computing system is an NPcomplete problem. The main aim for several researchers is to develop variant scheduling algorithms for achieving optimality, and they have shown a good performance for tasks scheduling regarding resources selection. However, using of the full power of resources is still a challenge. In this paper, a new heuristic algorithm called Sort-Mid is proposed. It aims to maximizing the utilization and minimizing the makespan. The new strategy of Sort-Mid algorithm is to find appropriate resources.

7p trinhthamhodang1 16-11-2019 23 1   Download

Large-scale comparative studies of DNA fingerprints prefer automated chip capillary electrophoresis over conventional gel planar electrophoresis due to the higher precision of the digitalization process. However, the determination of band sizes is still limited by the device resolution and sizing accuracy. Band matching, therefore, remains the key step in DNA fingerprint analysis.

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This paper proposes a new way to optimize the biped walking gait design for biped robots that permits stable and robust stepping with pre-set foot lifting magnitude. The new meta-heuristic CFO-Central Force Optimization algorithm is initiatively applied to optimize the biped gait parameters as to ensure to keep biped robot walking robustly and steadily.

18p danhdanh11 09-01-2019 19 4   Download

We do some initial processing of the raw-format mes- sages before the next step. The rst is to extract a reli- able sender IP address heuristically for each message. Al- though the message format dictates a chain of relaying IP addresses in each message, a malicious relay can easily al- ter that. Therefore we cannot simply take the rst IP in the chain. Instead, our method is as follows (similar to the one in [5]). First we trust the sender IP reported by Hot- mail in the Received headers, and if the previous relay IP address (before any server from Hotmail) is on our trust list (e.g.

9p nhacsihuytuan 06-04-2013 60 6   Download

This book aims at attracting the interest of researchers and practitioners around the applicability of meta-heuristic algorithms to practical scenarios arising from different knowledge disciplines. Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation.

138p phoebe75 19-02-2013 48 5   Download

Thinking about the zero bound this way suggests that variable interest on reserves could be utilized routinely and productively as an instrument of monetary policy. The Fed could replace its current operating procedures with a new interest-on-reserves regime. For heuristic purposes, I describe the implementation of the new regime in two steps, although the steps would take place simultaneously in practice. First, the Fed would purchase additional securities in the open market, adding enough reserves to satiate the market and drive the federal funds rate to zero.

11p taisaocothedung 09-01-2013 50 4   Download