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In recent years, with the development of microarray technique, discovery of useful knowledge from microarray data has become very important. Biclustering is a very useful data mining technique for discovering genes which have similar…

Computational Engineering, Finance, and Science · Computer Science 2009-09-09 Mohsen lashkargir , S. Amirhassan Monadjemi , Ahmad Baraani Dastjerdi

We propose a novel and flexible DNA-storage architecture, which divides the storage space into fixed-size units (blocks) that can be independently and efficiently accessed at random for both read and write operations, and further allows…

Emerging Technologies · Computer Science 2023-10-02 Puru Sharma , Cheng-Kai Lim , Dehui Lin , Yash Pote , Djordje Jevdjic

This paper investigates the downlink channel state information (CSI) sensing in 5G heterogeneous networks composed of user equipments (UEs) with different feedback capabilities. We aim to enhance the CSI accuracy of UEs only affording the…

Information Theory · Computer Science 2024-10-28 Lei Li , Xing Zeng , Ya-Feng Liu , Yanqing Xu , Tsung-Hui Chang

Heterogeneous networks have been studied as one of the enablers of network densification. These studies have been intensified to overcome some drawbacks related to propagation in millimeter waves (mmWaves), such as severe path and…

Support for lower precision computation is becoming more common in accelerator hardware due to lower power usage, reduced data movement and increased computational performance. However, computational science and engineering (CSE) problems…

Numerical Analysis · Mathematics 2021-05-18 Jennifer A. Loe , Christian A. Glusa , Ichitaro Yamazaki , Erik G. Boman , Sivasankaran Rajamanickam

We present a single-molecule tool called the CoPro (Concentration of Proteins) method that uses millisecond imaging with convolution analysis, automated image segmentation and super-resolution localization microscopy to generate robust…

Biomolecules · Quantitative Biology 2016-02-17 Adam J. M. Wollman , Mark C. Leake

Anti-analysis techniques, particularly packing, challenge malware analysts, making packer identification fundamental. Existing packer identifiers have significant limitations: signature-based methods lack flexibility and struggle against…

Cryptography and Security · Computer Science 2025-07-10 Marco Di Gennaro , Mario D'Onghia , Mario Polino , Stefano Zanero , Michele Carminati

In situ polymerization and micropatterning of hydrogels on-chip opens the potential for many applications such as tracking and controlling the diffusion of molecules, stimulants, inhibitors, as well as nutrients and drugs, from their source…

Early identification of sensitive cancer cell lines is essential for accelerating biomarker discovery and elucidating drug mechanism of action. Given the efficiency and low cost of small-scale drug screens relative to extensive omics…

Quantitative Methods · Quantitative Biology 2025-10-24 Abbi Abdel-Rehim , Emma Tate , Larisa N. Soldatova , Ross D. King

Multiphase CT studies are routinely obtained in clinical practice for diagnosis and management of various diseases, such as cancer. However, the CT studies can be acquired with low radiation doses, different scanners, and are frequently…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Xinya Wang , Tejas Sudharshan Mathai , Boah Kim , Ronald M. Summers

Extracellular DNA accumulation in recirculating bioprocesses inhibits microbial growth and reduces productivity. We consider a continuous bioreactor with a recirculating loop and an electrophoretic filtration unit for selective DNA removal,…

Systems and Control · Electrical Eng. & Systems 2026-03-25 Antonio Spallone , Davide Fiore , Fabrizio Cartenì , Mario di Bernardo

DNA is now firmly established as a versatile and robust platform for achieving synthetic nanostructures. While the folding of single molecules into complex structures is routinely achieved through engineering basepair sequences, much less…

Soft Condensed Matter · Physics 2025-05-15 Soumen De Karmakar , Thomas Speck

Motivated by the recently shown connection between self-attention and (kernel) principal component analysis (PCA), we revisit the fundamentals of PCA. Using the difference-of-convex (DC) framework, we present several novel formulations and…

Machine Learning · Computer Science 2025-10-22 Jan Quan , Johan Suykens , Panagiotis Patrinos

Size and shape are critical discriminators between molecular species and states. We describe a micro-chip based high-throughput imaging approach offering rapid and precise determination of molecular properties under native solution…

Accurately predicting chronological age from DNA methylation patterns is crucial for advancing biological age estimation. However, this task is made challenging by Epigenetic Correlation Drift (ECD) and Heterogeneity Among CpGs (HAC), which…

Genomics · Quantitative Biology 2025-01-07 Zipeng Wu , Daniel Herring , Fabian Spill , James Andrews

When the number of features exponentially outnumbers the number of samples, feature screening plays a pivotal role in reducing the dimension of the feature space and developing models based on such data. While most extant feature screening…

Methodology · Statistics 2019-11-19 Randall Reese

We propose a new method for statistical inference in generalized linear models. In the overparameterized regime, Principal Component Regression (PCR) reduces variance by projecting high-dimensional data to a low-dimensional principal…

Machine Learning · Statistics 2026-04-27 Yixuan Florence Wu , Yilun Zhu , Lei Cao , Naichen Shi

Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique for early…

Image and Video Processing · Electrical Eng. & Systems 2021-08-31 Md Mamunur Rahaman , Chen Li , Yudong Yao , Frank Kulwa , Xiangchen Wu , Xiaoyan Li , Qian Wang

Direct cDNA preamplification protocols developed for single-cell RNA-seq have enabled transcriptome profiling of precious clinical samples and rare cells without sample pooling or RNA extraction. Currently, there is no algorithm optimized…

Consider the problem of testing $s$ hypotheses simultaneously. The usual approach restricts attention to procedures that control the probability of even one false rejection, the familywise error rate (FWER). If $s$ is large, one might be…

Statistics Theory · Mathematics 2007-11-06 Joseph P. Romano , Michael Wolf