Many questions about the regulation, functional specialization, computational prediction, and evolution of genomic imprinting would be better addressed by having an exhaustive genome-wide catalog of genes that display parent-of-origin differential expression. As a first-pass scan for novel imprinted genes, we performed mRNA-seq experiments on embryonic day 17.5 (E17.5) mouse placenta cDNA sampl...

Class imbalance problem in data, plays a critical role in use of machine learning methods for text classification since feature selection methods expect homogeneous distribution as well as machine learning methods. This study investigates two different kinds of feature selection metrics (one-sided and two-sided) as a global component of term weighting schemes (called as tffs) in scenarios where...

DNA single strand breaks (SSBs) are one of the most frequent DNA lesions in genomic DNA generated either by oxidative stress or during the base excision repair pathways. Here we established a new real-time assay to assess an imbalance of DNA SSB repair by indirectly measuring PARP-1 activation through the depletion of intracellular NAD(P)H. A water-soluble tetrazolium salt is used to monitor th...

Hardware imperfections can significantly reduce the performance of full-duplex wireless systems by introducing non-idealities and random effects that make it challenging to fully suppress self-interference. Previous research has mostly focused on analyzing the impact of hardware imperfections on full-duplex systems, based on simulations and theoretical models. In this paper, we follow a measure...

Obesity is a major public health issue, the scale and consequences of which suggest the need for comprehensive action. It would appear that there is an imbalance between the investment in primary prevention and in secondary prevention in the form of obesity treatment. It is possible that this imbalance has contributed to our lack of progress in treating obese children effectively and at scale. ...

Concept drifts occurring in data streams will jeopardize the accuracy and stability of the online learning process. If the data stream is imbalanced, it will be even more challenging to detect and cure the concept drift. In the literature, these two problems have been intensively addressed separately, but have yet to be well studied when they occur together. In this paper, we propose a chunk-ba...

Bladder cancer is one of the most frequent human cancers. In 2011 more than six thousand people in Poland developed BC and more than three thousand died because of it. Treatment of bladder cancer depends on its stage. In less advanced tumours (Ta, Tcis, T1) transurethral resection of bladder tumor with adjuvant immunotherapy is often therapeutic. In more advanced cases (≥ T2) radical cystectomy...

Fish-net algorithm is a novel field learning algorithm which derives classification rules by looking at the range of values of each attribute instead of the individual point values. In this paper, we present a Feature Selection Fish-net learning algorithm to solve the Dual Imbalance problem on text classification. Dual imbalance includes the instance imbalance and feature imbalance. The instanc...

DNA precursor imbalances are known to be mutagenic in both eukaryotic and prokaryotic systems. Almost certainly, such mutagenesis involves competition between correctly and incorrectly base-paired precursors at replication sites. Since other factors may be involved, it is important to identify specific mutations induced by specific pool imbalances. Using bacteriophage T4, we have developed a sy...

The aim of emotion recognition is to establish grounds that work for different types of emotions. However, majority of the classifiers have their base from balanced datasets. There are few works that attempts to address how to approach facial emotion recognition under imbalanced condition. This paper discusses the issues related to imbalanced data distribution problem and the common strategy to...