With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …

Over the past decade we have witnessed the increasing sophistication of machine learning
algorithms applied in daily use from internet searches, voice recognition, social network …

Combinations of therapies are being actively pursued to expand therapeutic options and
deal with cancer's pervasive resistance to treatment. Research efforts to discover effective …

深度学习是机器学习方法的一个重要分支, 它通过基于多层神经网络的计算模型来进行学习.
一个深度学习网络可以通过组合低层特征形成更抽象的高层特征, 以发现数据的复杂的内在特征 …

Numerous advances in sequencing technologies have revolutionized genomics through
generating many types of genomic functional data. Statistical tools have been developed to …

A famous theorem of Hilbert from 1888 states that for given n and d, every positive
semidefinite (psd) real form of degree 2d in n variables is a sum of squares (sos) of real …

ABSTRACT A number of approaches have been developed to call somatic variation in high-
throughput sequencing data. Here, we present an adaptive approach to calling somatic …

Technological advances in DNA sequencing technologies allow sequencing the human
genome for a low cost and within a reasonable time span. This advance conduces to a huge …

Chloroplasts are organelles that are unique to plant and algal cells and are the site of
photosynthesis. Though chloroplasts contain their own genome, an estimated 95% of …

Recently, sequencing technologies have generated massive and heterogeneous data sets.
However, interpretation of these data sets is a major barrier to understand genomic …