Feature selection methods and genomic big data: a systematic review

K Tadist, S Najah, NS Nikolov, F Mrabti, A Zahi - Journal of Big Data, 2019 - Springer
In the era of accelerating growth of genomic data, feature-selection techniques are believed
to become a game changer that can help substantially reduce the complexity of the data …

Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: A systematic review of preclinical and clinical studies

R Sharma, AR Bhute, BK Bastia - Forensic science international, 2022 - Elsevier
Background/purpose Establishing an accurate postmortem interval (PMI) is exceptionally
crucial in forensic investigation. Artificial intelligence (AI) and Machine learning (ML) models …

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study

MK Sohrabi, F Hemmatian - Multimedia tools and applications, 2019 - Springer
Along with the significant growth of social media, individuals and companies are
increasingly receiving public opinions which direct their decisions. Opinion mining, which is …

Global and local ancestry and its importance: a review

RC Goli, KG Chishi, I Ganguly, S Singh… - Current …, 2024 - benthamdirect.com
The fastest way to significantly change the composition of a population is through admixture,
an evolutionary mechanism. In animal breeding history, genetic admixture has provided …

Comparative analysis of five different methods to design a breed-specific SNP panel for cattle

H Kumar, M Panigrahi, S Chhotaray, S Parida… - Animal …, 2021 - Taylor & Francis
Single nucleotide polymorphisms (SNPs) have now replaced microsatellite markers in
several species for various genetic investigations like parentage assignment, genetic breed …

SNPs with intermediate minor allele frequencies facilitate accurate breed assignment of Indian Tharparkar cattle

H Kumar, M Panigrahi, KA Saravanan, S Parida… - Gene, 2021 - Elsevier
Tharparkar cattle breed is widely known for its superior milch quality and hardiness
attributes. This study aimed to develop an ultra-low density breed-specific single nucleotide …

Can we rely on selected genetic markers for population identification? Evidence from coastal Atlantic cod

PE Jorde, AE Synnes, SH Espeland… - Ecology and …, 2018 - Wiley Online Library
The use of genetic markers under putative selection in population studies carries the
potential for erroneous identification of populations and misassignment of individuals to …

[HTML][HTML] Ancestry informative markers derived from discriminant analysis of principal components provide important insights into the composition of crossbred cattle

S Chhotaray, M Panigrahi, D Pal, SF Ahmad… - Genomics, 2020 - Elsevier
The cost of SNP genotyping to screen different breeds and to estimate the exact proportion
of ancestry level is quite high, which can be compensated through deriving a small panel of …

[HTML][HTML] LociScan, a tool for screening genetic marker combinations for plant variety discrimination

Y Yang, H Tian, H Yi, Z Shi, L Wang, Y Fan, F Wang… - The Crop Journal, 2024 - Elsevier
To reduce the cost and increase the efficiency of plant genetic marker fingerprinting for
variety discrimination, it is desirable to identify the optimal marker combinations. We …

Elucidation of population stratifying markers and selective sweeps in crossbred Landlly pig population using genome-wide SNP data

T Saini, A Chauhan, SF Ahmad, A Kumar… - Mammalian …, 2024 - Springer
The present study was aimed at the identification of population stratifying markers from the
commercial porcine SNP 60K array and elucidate the genome-wide selective sweeps in the …