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I have a problem with extracting parts of the text from some pdf files. It looks as if several threads are returning their result at the same time. There may also be problems with recognizing images in the file, although it doesn't seem to be the rule. Has anyone else had such a problem? Can I add any options to fix this?
This is how it looks like after extracting with Cermine:
finally we selected the best learning model to classify the samples into the three groups.
and finally we selected the best learning model to classify the samples into the three groups.
analysis and a feature selection procedure. Then, we developed a Cluster analysis to evaluate dataset homogeneity, and
22..33..DDaattaaPPrree--PPrroocceessssiinngg
TToo rereaaddanadnpdrepprroecpersoscreasws draatwa, ddifafetare,ndtpifafeckreangtes pinacthkea gfreasmeinwotrhkeR f(rhatmtpesw:/o/rwkwRw.
(rh-tptprosj:e//cwt.owrwg/.r,-apcrcoejesscet.dorogn/,2a4ccMesasyed20o2n1)2[415M] awyer2e02u1s)ed[1.5T] hweefroeuursdeadt.aTsehtes fwoeurreddaetraisveetds
wfreorme dtweroivdeidffefrreonmt ttewchondoilfofegrieens:t Atefcfyhmnoeltorgixieasn:dAAffygmileentrt.ixToanpdroAcegsisleAntf.fyTmoeptrrioxceCsEsLAfifflyes-,
mweetruisxeCdEthLef‘iolelisg, ow’ e[1u6s]epdacthkeag‘oe.liTghoe
And then the correct text
Same part of tekst extracted with other tool:
Figure 1. Flowchart of the proposed approach. After merging the four datasets, we implemented a differential expression
analysis and a feature selection procedure. Then, we developed a Cluster analysis to evaluate dataset homogeneity, and
finally we selected the best learning model to classify the samples into the three groups.
2.3. Data Pre-Processing
To read and preprocess raw data, different packages in the framework R
(https://www.r-project.org/, accessed on 24 May 2021) [15] were used. The four datasets were derived from two different technologies: Affymetrix and Agilent. To process Affy-metrix CEL files, we used the ‘oligo’ [16] package.
The text was updated successfully, but these errors were encountered:
I have a problem with extracting parts of the text from some pdf files. It looks as if several threads are returning their result at the same time. There may also be problems with recognizing images in the file, although it doesn't seem to be the rule. Has anyone else had such a problem? Can I add any options to fix this?
This is how it looks like after extracting with Cermine:
finally we selected the best learning model to classify the samples into the three groups.
and finally we selected the best learning model to classify the samples into the three groups.
analysis and a feature selection procedure. Then, we developed a Cluster analysis to evaluate dataset homogeneity, and
22..33..DDaattaaPPrree--PPrroocceessssiinngg
TToo rereaaddanadnpdrepprroecpersoscreasws draatwa, ddifafetare,ndtpifafeckreangtes pinacthkea gfreasmeinwotrhkeR f(rhatmtpesw:/o/rwkwRw.
(rh-tptprosj:e//cwt.owrwg/.r,-apcrcoejesscet.dorogn/,2a4ccMesasyed20o2n1)2[415M] awyer2e02u1s)ed[1.5T] hweefroeuursdeadt.aTsehtes fwoeurreddaetraisveetds
wfreorme dtweroivdeidffefrreonmt ttewchondoilfofegrieens:t Atefcfyhmnoeltorgixieasn:dAAffygmileentrt.ixToanpdroAcegsisleAntf.fyTmoeptrrioxceCsEsLAfifflyes-,
mweetruisxeCdEthLef‘iolelisg, ow’ e[1u6s]epdacthkeag‘oe.liTghoe
And then the correct text
Same part of tekst extracted with other tool:
Figure 1. Flowchart of the proposed approach. After merging the four datasets, we implemented a differential expression
analysis and a feature selection procedure. Then, we developed a Cluster analysis to evaluate dataset homogeneity, and
finally we selected the best learning model to classify the samples into the three groups.
2.3. Data Pre-Processing
To read and preprocess raw data, different packages in the framework R
(https://www.r-project.org/, accessed on 24 May 2021) [15] were used. The four datasets were derived from two different technologies: Affymetrix and Agilent. To process Affy-metrix CEL files, we used the ‘oligo’ [16] package.
The text was updated successfully, but these errors were encountered: